Nothing
R/sfalcmcross-halfnormal-5Classes.R
In sfaR: Stochastic Frontier Analysis Routines
Defines functions
cmargLCM5Chalfnorm_Vu
cmargLCM5Chalfnorm_Eu
cLCM5Chalfnormeff
LCM5ChnormAlgOpt
chessLCMhalfnormlike5C
cgradLCMhalfnormlike5C
csLCMfhalfnorm5C
cLCMhalfnormlike5C
################################################################################
# #
# R internal functions for the sfaR package #
# #
################################################################################
#------------------------------------------------------------------------------#
# Data: Cross sectional data & Pooled data #
# Model: Latent Class Stochastic Frontier Analysis #
# Number of Classes: 5L #
# Convolution: halfnormal - normal #
#------------------------------------------------------------------------------#
# Log-likelihood ----------
#' log-likelihood for lcm 5 classes halfnormal-normal distribution
#' @param parm all parameters to be estimated
#' @param nXvar number of main variables (inputs + env. var)
#' @param nuZUvar number of Zu variables
#' @param nvZVvar number of Zv variables
#' @param uHvar matrix of Zu variables
#' @param vHvar matrix of Zv variables
#' @param Yvar vector of dependent variable
#' @param Xvar matrix of main variables
#' @param S integer for cost/prod estimation
#' @param wHvar vector of weights (weighted likelihood)
#' @param Zvar matrix of separating variables
#' @param nZHvar number of separating variables
#' @noRd
cLCMhalfnormlike5C <- function(parm, nXvar, nuZUvar, nvZVvar,
uHvar, vHvar, Yvar, Xvar, S, wHvar, Zvar, nZHvar) {
beta1 <- parm[1:(nXvar)]
delta1 <- parm[(nXvar + 1):(nXvar + nuZUvar)]
phi1 <- parm[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar)]
beta2 <- parm[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
nuZUvar + nvZVvar)]
delta2 <- parm[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + nvZVvar)]
phi2 <- parm[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)]
beta3 <- parm[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)]
delta3 <- parm[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 2 * nvZVvar)]
phi3 <- parm[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)]
beta4 <- parm[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)]
delta4 <- parm[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 3 * nvZVvar)]
phi4 <- parm[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)]
beta5 <- parm[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)]
delta5 <- parm[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 4 * nvZVvar)]
phi5 <- parm[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar)]
theta1 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar)]
theta2 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar)]
theta3 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar)]
theta4 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar)]
Wu1 <- as.numeric(crossprod(matrix(delta1), t(uHvar)))
Wu2 <- as.numeric(crossprod(matrix(delta2), t(uHvar)))
Wu3 <- as.numeric(crossprod(matrix(delta3), t(uHvar)))
Wu4 <- as.numeric(crossprod(matrix(delta4), t(uHvar)))
Wu5 <- as.numeric(crossprod(matrix(delta5), t(uHvar)))
Wv1 <- as.numeric(crossprod(matrix(phi1), t(vHvar)))
Wv2 <- as.numeric(crossprod(matrix(phi2), t(vHvar)))
Wv3 <- as.numeric(crossprod(matrix(phi3), t(vHvar)))
Wv4 <- as.numeric(crossprod(matrix(phi4), t(vHvar)))
Wv5 <- as.numeric(crossprod(matrix(phi5), t(vHvar)))
Wz1 <- as.numeric(crossprod(matrix(theta1), t(Zvar)))
Wz2 <- as.numeric(crossprod(matrix(theta2), t(Zvar)))
Wz3 <- as.numeric(crossprod(matrix(theta3), t(Zvar)))
Wz4 <- as.numeric(crossprod(matrix(theta4), t(Zvar)))
epsilon1 <- Yvar - as.numeric(crossprod(matrix(beta1), t(Xvar)))
epsilon2 <- Yvar - as.numeric(crossprod(matrix(beta2), t(Xvar)))
epsilon3 <- Yvar - as.numeric(crossprod(matrix(beta3), t(Xvar)))
epsilon4 <- Yvar - as.numeric(crossprod(matrix(beta4), t(Xvar)))
epsilon5 <- Yvar - as.numeric(crossprod(matrix(beta5), t(Xvar)))
mustar1 <- -exp(Wu1) * S * epsilon1/(exp(Wu1) + exp(Wv1))
sigmastar1 <- sqrt(exp(Wu1) * exp(Wv1)/(exp(Wu1) + exp(Wv1)))
mustar2 <- -exp(Wu2) * S * epsilon2/(exp(Wu2) + exp(Wv2))
sigmastar2 <- sqrt(exp(Wu2) * exp(Wv2)/(exp(Wu2) + exp(Wv2)))
mustar3 <- -exp(Wu3) * S * epsilon3/(exp(Wu3) + exp(Wv3))
sigmastar3 <- sqrt(exp(Wu3) * exp(Wv3)/(exp(Wu3) + exp(Wv3)))
mustar4 <- -exp(Wu4) * S * epsilon4/(exp(Wu4) + exp(Wv4))
sigmastar4 <- sqrt(exp(Wu4) * exp(Wv4)/(exp(Wu4) + exp(Wv4)))
mustar5 <- -exp(Wu5) * S * epsilon5/(exp(Wu5) + exp(Wv5))
sigmastar5 <- sqrt(exp(Wu5) * exp(Wv5)/(exp(Wu5) + exp(Wv5)))
Pi1 <- 2/sqrt(exp(Wu1) + exp(Wv1)) * dnorm(S * epsilon1/sqrt(exp(Wu1) +
exp(Wv1))) * pnorm(mustar1/sigmastar1)
Pi2 <- 2/sqrt(exp(Wu2) + exp(Wv2)) * dnorm(S * epsilon2/sqrt(exp(Wu2) +
exp(Wv2))) * pnorm(mustar2/sigmastar2)
Pi3 <- 2/sqrt(exp(Wu3) + exp(Wv3)) * dnorm(S * epsilon3/sqrt(exp(Wu3) +
exp(Wv3))) * pnorm(mustar3/sigmastar3)
Pi4 <- 2/sqrt(exp(Wu4) + exp(Wv4)) * dnorm(S * epsilon4/sqrt(exp(Wu4) +
exp(Wv4))) * pnorm(mustar4/sigmastar4)
Pi5 <- 2/sqrt(exp(Wu5) + exp(Wv5)) * dnorm(S * epsilon5/sqrt(exp(Wu5) +
exp(Wv5))) * pnorm(mustar5/sigmastar5)
Probc1 <- exp(Wz1)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc2 <- exp(Wz2)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc3 <- exp(Wz3)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc4 <- exp(Wz4)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc5 <- 1 - Probc1 - Probc2 - Probc3 - Probc4
L <- Probc1 * Pi1 + Probc2 * Pi2 + Probc3 * Pi3 + Probc4 *
Pi4 + Probc5 * Pi5
ifelse(L <= 0, return(NA), return(wHvar * log(L)))
}
# starting value for the log-likelihood ----------
#' starting values for lcm 5 classes halfnormal-normal distribution
#' @param olsObj OLS object
#' @param epsiRes residuals from OLS
#' @param S integer for cost/prod estimation
#' @param nuZUvar number of Zu variables
#' @param nvZVvar number of Zv variables
#' @param uHvar matrix of Zu variables
#' @param vHvar matrix of Zv variables
#' @param Yvar vector of dependent variable
#' @param Xvar matrix of main variables
#' @param nXvar number of main variables (inputs + env. var)
#' @param wHvar vector of weights (weighted likelihood)
#' @param Zvar matrix of separating variables
#' @param nZHvar number of separating variables
#' @param printInfo logical print info during optimization
#' @param whichStart strategy to get starting values
#' @param initIter maximum iterations for initialization
#' @param initAlg algorithm for maxLik
#' @param tol parameter tolerance
#' @noRd
csLCMfhalfnorm5C <- function(olsObj, epsiRes, nXvar, nuZUvar,
nvZVvar, uHvar, vHvar, Yvar, Xvar, S, wHvar, Zvar, nZHvar,
whichStart, initIter, initAlg, printInfo, tol) {
if (whichStart == 1L) {
Esti <- csthalfnorm(olsObj = olsObj, epsiRes = epsiRes,
S = S, nuZUvar = 1, uHvar = uHvar[, 1, drop = FALSE],
nvZVvar = 1, vHvar = vHvar[, 1, drop = FALSE])
initHalf <- NULL
} else {
cat("Initialization: SFA + halfnormal - normal distributions...\n")
initHalf <- maxLik::maxLik(logLik = chalfnormlike, start = csthalfnorm(olsObj = olsObj,
epsiRes = epsiRes, S = S, nuZUvar = 1, uHvar = uHvar[,
1, drop = FALSE], nvZVvar = 1, vHvar = vHvar[,
1, drop = FALSE]), grad = cgradhalfnormlike,
method = initAlg, control = list(iterlim = initIter,
printLevel = printInfo, reltol = tol), nXvar = nXvar,
nuZUvar = 1, nvZVvar = 1, uHvar = uHvar[, 1, drop = FALSE],
vHvar = vHvar[, 1, drop = FALSE], Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar)
Esti <- initHalf$estimate
}
StartVal <- c(Esti[1:(nXvar + 1)], if (nuZUvar > 1) rep(0,
nuZUvar - 1), Esti[nXvar + 2], if (nvZVvar > 1) rep(0,
nvZVvar - 1), 0.98 * Esti[1:nXvar], Esti[nXvar + 1],
if (nuZUvar > 1) rep(0, nuZUvar - 1), Esti[nXvar + 2],
if (nvZVvar > 1) rep(0, nvZVvar - 1), 0.98 * Esti[1:nXvar],
Esti[nXvar + 1], if (nuZUvar > 1) rep(0, nuZUvar - 1),
Esti[nXvar + 2], if (nvZVvar > 1) rep(0, nvZVvar - 1),
0.98 * Esti[1:nXvar], Esti[nXvar + 1], if (nuZUvar >
1) rep(0, nuZUvar - 1), Esti[nXvar + 2], if (nvZVvar >
1) rep(0, nvZVvar - 1), 0.98 * Esti[1:nXvar], Esti[nXvar +
1], if (nuZUvar > 1) rep(0, nuZUvar - 1), Esti[nXvar +
2], if (nvZVvar > 1) rep(0, nvZVvar - 1), rep(0,
4 * nZHvar))
names(StartVal) <- c(names(Esti)[1:nXvar], paste0("Zu_",
colnames(uHvar)), paste0("Zv_", colnames(vHvar)), names(Esti)[1:nXvar],
paste0("Zu_", colnames(uHvar)), paste0("Zv_", colnames(vHvar)),
names(Esti)[1:nXvar], paste0("Zu_", colnames(uHvar)),
paste0("Zv_", colnames(vHvar)), names(Esti)[1:nXvar],
paste0("Zu_", colnames(uHvar)), paste0("Zv_", colnames(vHvar)),
names(Esti)[1:nXvar], paste0("Zu_", colnames(uHvar)),
paste0("Zv_", colnames(vHvar)), paste0("Cl1_", colnames(Zvar)),
paste0("Cl2_", colnames(Zvar)), paste0("Cl3_", colnames(Zvar)),
paste0("Cl4_", colnames(Zvar)))
return(list(StartVal = StartVal, initHalf = initHalf))
}
# Gradient of the likelihood function ----------
#' gradient for lcm 5 classes halfnormal-normal distribution
#' @param parm all parameters to be estimated
#' @param nXvar number of main variables (inputs + env. var)
#' @param nuZUvar number of Zu variables
#' @param nvZVvar number of Zv variables
#' @param uHvar matrix of Zu variables
#' @param vHvar matrix of Zv variables
#' @param Yvar vector of dependent variable
#' @param Xvar matrix of main variables
#' @param S integer for cost/prod estimation
#' @param wHvar vector of weights (weighted likelihood)
#' @param Zvar matrix of separating variables
#' @param nZHvar number of separating variables
#' @noRd
cgradLCMhalfnormlike5C <- function(parm, nXvar, nuZUvar, nvZVvar,
uHvar, vHvar, Yvar, Xvar, S, wHvar, Zvar, nZHvar) {
beta1 <- parm[1:(nXvar)]
delta1 <- parm[(nXvar + 1):(nXvar + nuZUvar)]
phi1 <- parm[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar)]
beta2 <- parm[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
nuZUvar + nvZVvar)]
delta2 <- parm[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + nvZVvar)]
phi2 <- parm[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)]
beta3 <- parm[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)]
delta3 <- parm[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 2 * nvZVvar)]
phi3 <- parm[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)]
beta4 <- parm[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)]
delta4 <- parm[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 3 * nvZVvar)]
phi4 <- parm[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)]
beta5 <- parm[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)]
delta5 <- parm[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 4 * nvZVvar)]
phi5 <- parm[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar)]
theta1 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar)]
theta2 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar)]
theta3 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar)]
theta4 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar)]
Wu1 <- as.numeric(crossprod(matrix(delta1), t(uHvar)))
Wu2 <- as.numeric(crossprod(matrix(delta2), t(uHvar)))
Wu3 <- as.numeric(crossprod(matrix(delta3), t(uHvar)))
Wu4 <- as.numeric(crossprod(matrix(delta4), t(uHvar)))
Wu5 <- as.numeric(crossprod(matrix(delta5), t(uHvar)))
Wv1 <- as.numeric(crossprod(matrix(phi1), t(vHvar)))
Wv2 <- as.numeric(crossprod(matrix(phi2), t(vHvar)))
Wv3 <- as.numeric(crossprod(matrix(phi3), t(vHvar)))
Wv4 <- as.numeric(crossprod(matrix(phi4), t(vHvar)))
Wv5 <- as.numeric(crossprod(matrix(phi5), t(vHvar)))
Wz1 <- as.numeric(crossprod(matrix(theta1), t(Zvar)))
Wz2 <- as.numeric(crossprod(matrix(theta2), t(Zvar)))
Wz3 <- as.numeric(crossprod(matrix(theta3), t(Zvar)))
Wz4 <- as.numeric(crossprod(matrix(theta4), t(Zvar)))
epsilon1 <- Yvar - as.numeric(crossprod(matrix(beta1), t(Xvar)))
epsilon2 <- Yvar - as.numeric(crossprod(matrix(beta2), t(Xvar)))
epsilon3 <- Yvar - as.numeric(crossprod(matrix(beta3), t(Xvar)))
epsilon4 <- Yvar - as.numeric(crossprod(matrix(beta4), t(Xvar)))
epsilon5 <- Yvar - as.numeric(crossprod(matrix(beta5), t(Xvar)))
ewu1 <- exp(Wu1)
ewv1 <- exp(Wv1)
ewu2 <- exp(Wu2)
ewv2 <- exp(Wv2)
ewu3 <- exp(Wu3)
ewv3 <- exp(Wv3)
ewu4 <- exp(Wu4)
ewv4 <- exp(Wv4)
ewu5 <- exp(Wu5)
ewv5 <- exp(Wv5)
ewz1 <- exp(Wz1)
ewz2 <- exp(Wz2)
ewz3 <- exp(Wz3)
ewz4 <- exp(Wz4)
sigma_sq1 <- ewu1 + ewv1
sigma_sq2 <- ewu2 + ewv2
sigma_sq3 <- ewu3 + ewv3
sigma_sq4 <- ewu4 + ewv4
sigma_sq5 <- ewu5 + ewv5
sigmastar1 <- sqrt(ewu1 * ewv1/(sigma_sq1))
sigmastar2 <- sqrt(ewu2 * ewv2/(sigma_sq2))
sigmastar3 <- sqrt(ewu3 * ewv3/(sigma_sq3))
sigmastar4 <- sqrt(ewu4 * ewv4/(sigma_sq4))
sigmastar5 <- sqrt(ewu5 * ewv5/(sigma_sq5))
dmusig1 <- dnorm(-(S * ewu1 * (epsilon1)/((sigma_sq1) * sigmastar1)))
dmusig2 <- dnorm(-(S * ewu2 * (epsilon2)/((sigma_sq2) * sigmastar2)))
dmusig3 <- dnorm(-(S * ewu3 * (epsilon3)/((sigma_sq3) * sigmastar3)))
dmusig4 <- dnorm(-(S * ewu4 * (epsilon4)/((sigma_sq4) * sigmastar4)))
dmusig5 <- dnorm(-(S * ewu5 * (epsilon5)/((sigma_sq5) * sigmastar5)))
pmusig1 <- pnorm(-(S * ewu1 * (epsilon1)/((sigma_sq1) * sigmastar1)))
pmusig2 <- pnorm(-(S * ewu2 * (epsilon2)/((sigma_sq2) * sigmastar2)))
pmusig3 <- pnorm(-(S * ewu3 * (epsilon3)/((sigma_sq3) * sigmastar3)))
pmusig4 <- pnorm(-(S * ewu4 * (epsilon4)/((sigma_sq4) * sigmastar4)))
pmusig5 <- pnorm(-(S * ewu5 * (epsilon5)/((sigma_sq5) * sigmastar5)))
depsisq1 <- dnorm(S * (epsilon1)/sqrt(sigma_sq1))
depsisq2 <- dnorm(S * (epsilon2)/sqrt(sigma_sq2))
depsisq3 <- dnorm(S * (epsilon3)/sqrt(sigma_sq3))
depsisq4 <- dnorm(S * (epsilon4)/sqrt(sigma_sq4))
depsisq5 <- dnorm(S * (epsilon5)/sqrt(sigma_sq5))
sigx1_1 <- (dmusig1 * depsisq1 * ewu1/sigmastar1 + S * depsisq1 *
pmusig1 * (epsilon1))
sigx1_2 <- (dmusig2 * depsisq2 * ewu2/sigmastar2 + S * depsisq2 *
pmusig2 * (epsilon2))
sigx1_3 <- (dmusig3 * depsisq3 * ewu3/sigmastar3 + S * depsisq3 *
pmusig3 * (epsilon3))
sigx1_4 <- (dmusig4 * depsisq4 * ewu4/sigmastar4 + S * depsisq4 *
pmusig4 * (epsilon4))
sigx1_5 <- (dmusig5 * depsisq5 * ewu5/sigmastar5 + S * depsisq5 *
pmusig5 * (epsilon5))
sqsq1 <- ((sigma_sq1) * sigmastar1)
sqsq2 <- ((sigma_sq2) * sigmastar2)
sqsq3 <- ((sigma_sq3) * sigmastar3)
sqsq4 <- ((sigma_sq4) * sigmastar4)
sqsq5 <- ((sigma_sq5) * sigmastar5)
sigx2_1 <- (0.5 * ((1 - ewu1/(sigma_sq1)) * ewv1/sigmastar1) +
sigmastar1)
sigx2_2 <- (0.5 * ((1 - ewu2/(sigma_sq2)) * ewv2/sigmastar2) +
sigmastar2)
sigx2_3 <- (0.5 * ((1 - ewu3/(sigma_sq3)) * ewv3/sigmastar3) +
sigmastar3)
sigx2_4 <- (0.5 * ((1 - ewu4/(sigma_sq4)) * ewv4/sigmastar4) +
sigmastar4)
sigx2_5 <- (0.5 * ((1 - ewu5/(sigma_sq5)) * ewv5/sigmastar5) +
sigmastar5)
sigx3_1 <- (0.5 * ((1 - ewv1/(sigma_sq1)) * ewu1/sigmastar1) +
sigmastar1)
sigx3_2 <- (0.5 * ((1 - ewv2/(sigma_sq2)) * ewu2/sigmastar2) +
sigmastar2)
sigx3_3 <- (0.5 * ((1 - ewv3/(sigma_sq3)) * ewu3/sigmastar3) +
sigmastar3)
sigx3_4 <- (0.5 * ((1 - ewv4/(sigma_sq4)) * ewu4/sigmastar4) +
sigmastar4)
sigx3_5 <- (0.5 * ((1 - ewv5/(sigma_sq5)) * ewu5/sigmastar5) +
sigmastar5)
wzdeno <- (1 + ewz1 + ewz2 + ewz3 + ewz4)
prC <- (1 - (ewz1 + ewz2 + ewz3 + ewz4)/wzdeno)
wzdsq1 <- wzdeno * sqrt(sigma_sq1)
wzdsq2 <- wzdeno * sqrt(sigma_sq2)
wzdsq3 <- wzdeno * sqrt(sigma_sq3)
wzdsq4 <- wzdeno * sqrt(sigma_sq4)
wzlogit1 <- (depsisq1 * ewz1 * pmusig1/sqrt(sigma_sq1))
wzlogit2 <- (depsisq2 * ewz2 * pmusig2/sqrt(sigma_sq2))
wzlogit3 <- (depsisq3 * ewz3 * pmusig3/sqrt(sigma_sq3))
wzlogit4 <- (depsisq4 * ewz4 * pmusig4/sqrt(sigma_sq4))
wzlogit5 <- (prC * depsisq5 * pmusig5/sqrt(sigma_sq5))
sigx4 <- ((2 * wzlogit1 + 2 * wzlogit2 + 2 * wzlogit3 + 2 *
wzlogit4)/wzdeno + 2 * wzlogit5)
sigsq_1 <- (sigx4 * wzdeno * (sigma_sq1) * sqrt(sigma_sq1))
sigsq_2 <- (sigx4 * wzdeno * (sigma_sq2) * sqrt(sigma_sq2))
sigsq_3 <- (sigx4 * wzdeno * (sigma_sq3) * sqrt(sigma_sq3))
sigsq_4 <- (sigx4 * wzdeno * (sigma_sq4) * sqrt(sigma_sq4))
sigsq_5 <- (sigx4 * (sigma_sq5) * sqrt(sigma_sq5))
dpepsisq1 <- 0.5 * (S * depsisq1 * pmusig1 * (epsilon1)/(sigma_sq1)^2)
dpepsisq2 <- 0.5 * (S * depsisq2 * pmusig2 * (epsilon2)/(sigma_sq2)^2)
dpepsisq3 <- 0.5 * (S * depsisq3 * pmusig3 * (epsilon3)/(sigma_sq3)^2)
dpepsisq4 <- 0.5 * (S * depsisq4 * pmusig4 * (epsilon4)/(sigma_sq4)^2)
dpepsisq5 <- 0.5 * (S * depsisq5 * pmusig5 * (epsilon5)/(sigma_sq5)^2)
wzdsig <- (sigx4 * wzdeno)
dpsq1 <- (depsisq1 * pmusig1/sqrt(sigma_sq1))
dpsq2 <- (depsisq2 * pmusig2/sqrt(sigma_sq2))
dpsq3 <- (depsisq3 * pmusig3/sqrt(sigma_sq3))
dpsq4 <- (depsisq4 * pmusig4/sqrt(sigma_sq4))
dpsq5 <- (depsisq5 * pmusig5/(sigma_sq5))
sigwz1 <- sigx4 * wzdsq1
sigwz2 <- sigx4 * wzdsq2
sigwz3 <- sigx4 * wzdsq3
sigwz4 <- sigx4 * wzdsq4
sigwz5 <- sigx4 * sqrt(sigma_sq5)
sigx5_1 <- 0.5 * (depsisq1 * pmusig1/(sigma_sq1))
sigx5_2 <- 0.5 * (depsisq2 * pmusig2/(sigma_sq2))
sigx5_3 <- 0.5 * (depsisq3 * pmusig3/(sigma_sq3))
sigx5_4 <- 0.5 * (depsisq4 * pmusig4/(sigma_sq4))
sqewu1 <- (1/sqsq1 - sigx2_1 * ewu1/sqsq1^2)
sqewu2 <- (1/sqsq2 - sigx2_2 * ewu2/sqsq2^2)
sqewu3 <- (1/sqsq3 - sigx2_3 * ewu3/sqsq3^2)
sqewu4 <- (1/sqsq4 - sigx2_4 * ewu4/sqsq4^2)
sqewu5 <- (1/sqsq5 - sigx2_5 * ewu5/sqsq5^2)
sigx6_1 <- (S * (dpepsisq1 - sqewu1 * dmusig1 * depsisq1) *
(epsilon1) - sigx5_1)
sigx6_2 <- (S * (dpepsisq2 - sqewu2 * dmusig2 * depsisq2) *
(epsilon2) - sigx5_2)
sigx6_3 <- (S * (dpepsisq3 - sqewu3 * dmusig3 * depsisq3) *
(epsilon3) - sigx5_3)
sigx6_4 <- (S * (dpepsisq4 - sqewu4 * dmusig4 * depsisq4) *
(epsilon4) - sigx5_4)
sigx6_5 <- (S * (dpepsisq5 - sqewu5 * dmusig5 * depsisq5) *
(epsilon5) - 0.5 * dpsq5)
sigx7_1 <- (S * (sigx3_1 * dmusig1 * depsisq1 * ewu1/sqsq1^2 +
dpepsisq1) * (epsilon1) - sigx5_1)
sigx7_2 <- (S * (sigx3_2 * dmusig2 * depsisq2 * ewu2/sqsq2^2 +
dpepsisq2) * (epsilon2) - sigx5_2)
sigx7_3 <- (S * (sigx3_3 * dmusig3 * depsisq3 * ewu3/sqsq3^2 +
dpepsisq3) * (epsilon3) - sigx5_3)
sigx7_4 <- (S * (sigx3_4 * dmusig4 * depsisq4 * ewu4/sqsq4^2 +
dpepsisq4) * (epsilon4) - sigx5_4)
sigx7_5 <- (S * (sigx3_5 * dmusig5 * depsisq5 * ewu5/sqsq5^2 +
dpepsisq5) * (epsilon5) - 0.5 * dpsq5)
gradll <- cbind(sweep(Xvar, MARGIN = 1, STATS = 2 * (S *
sigx1_1 * ewz1/sigsq_1), FUN = "*"), sweep(uHvar, MARGIN = 1,
STATS = 2 * (ewu1 * ewz1 * sigx6_1/(sigwz1)), FUN = "*"),
sweep(vHvar, MARGIN = 1, STATS = 2 * (ewv1 * ewz1 * sigx7_1/(sigwz1)),
FUN = "*"), sweep(Xvar, MARGIN = 1, STATS = 2 * (S *
sigx1_2 * ewz2/sigsq_2), FUN = "*"), sweep(uHvar,
MARGIN = 1, STATS = 2 * (ewu2 * ewz2 * sigx6_2/(sigwz2)),
FUN = "*"), sweep(vHvar, MARGIN = 1, STATS = 2 *
(ewv2 * ewz2 * sigx7_2/(sigwz2)), FUN = "*"), sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * sigx1_3 * ewz3/sigsq_3),
FUN = "*"), sweep(uHvar, MARGIN = 1, STATS = 2 *
(ewu3 * ewz3 * sigx6_3/(sigwz3)), FUN = "*"), sweep(vHvar,
MARGIN = 1, STATS = 2 * (ewv3 * ewz3 * sigx7_3/(sigwz3)),
FUN = "*"), sweep(Xvar, MARGIN = 1, STATS = 2 * (S *
sigx1_4 * ewz4/sigsq_4), FUN = "*"), sweep(uHvar,
MARGIN = 1, STATS = 2 * (ewu4 * ewz4 * sigx6_4/(sigwz4)),
FUN = "*"), sweep(vHvar, MARGIN = 1, STATS = 2 *
(ewv4 * ewz4 * sigx7_4/(sigwz4)), FUN = "*"), sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * prC * sigx1_5/sigsq_5),
FUN = "*"), sweep(uHvar, MARGIN = 1, STATS = 2 *
(prC * ewu5 * sigx6_5/(sigwz5)), FUN = "*"), sweep(vHvar,
MARGIN = 1, STATS = 2 * (prC * ewv5 * sigx7_5/(sigwz5)),
FUN = "*"), sweep(Zvar, MARGIN = 1, STATS = (2 *
dpsq1 - sigx4) * ewz1/wzdsig, FUN = "*"), sweep(Zvar,
MARGIN = 1, STATS = (2 * dpsq2 - sigx4) * ewz2/wzdsig,
FUN = "*"), sweep(Zvar, MARGIN = 1, STATS = (2 *
dpsq3 - sigx4) * ewz3/wzdsig, FUN = "*"), sweep(Zvar,
MARGIN = 1, STATS = (2 * dpsq4 - sigx4) * ewz4/wzdsig,
FUN = "*"))
return(sweep(gradll, MARGIN = 1, STATS = wHvar, FUN = "*"))
}
# Hessian of the likelihood function ----------
#' hessian for lcm 5 classes halfnormal-normal distribution
#' @param parm all parameters to be estimated
#' @param nXvar number of main variables (inputs + env. var)
#' @param nuZUvar number of Zu variables
#' @param nvZVvar number of Zv variables
#' @param uHvar matrix of Zu variables
#' @param vHvar matrix of Zv variables
#' @param Yvar vector of dependent variable
#' @param Xvar matrix of main variables
#' @param S integer for cost/prod estimation
#' @param wHvar vector of weights (weighted likelihood)
#' @param Zvar matrix of separating variables
#' @param nZHvar number of separating variables
#' @noRd
chessLCMhalfnormlike5C <- function(parm, nXvar, nuZUvar, nvZVvar,
uHvar, vHvar, Yvar, Xvar, S, wHvar, Zvar, nZHvar) {
beta1 <- parm[1:(nXvar)]
delta1 <- parm[(nXvar + 1):(nXvar + nuZUvar)]
phi1 <- parm[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar)]
beta2 <- parm[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
nuZUvar + nvZVvar)]
delta2 <- parm[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + nvZVvar)]
phi2 <- parm[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)]
beta3 <- parm[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)]
delta3 <- parm[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 2 * nvZVvar)]
phi3 <- parm[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)]
beta4 <- parm[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)]
delta4 <- parm[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 3 * nvZVvar)]
phi4 <- parm[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)]
beta5 <- parm[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)]
delta5 <- parm[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 4 * nvZVvar)]
phi5 <- parm[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar)]
theta1 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar)]
theta2 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar)]
theta3 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar)]
theta4 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar)]
Wu1 <- as.numeric(crossprod(matrix(delta1), t(uHvar)))
Wu2 <- as.numeric(crossprod(matrix(delta2), t(uHvar)))
Wu3 <- as.numeric(crossprod(matrix(delta3), t(uHvar)))
Wu4 <- as.numeric(crossprod(matrix(delta4), t(uHvar)))
Wu5 <- as.numeric(crossprod(matrix(delta5), t(uHvar)))
Wv1 <- as.numeric(crossprod(matrix(phi1), t(vHvar)))
Wv2 <- as.numeric(crossprod(matrix(phi2), t(vHvar)))
Wv3 <- as.numeric(crossprod(matrix(phi3), t(vHvar)))
Wv4 <- as.numeric(crossprod(matrix(phi4), t(vHvar)))
Wv5 <- as.numeric(crossprod(matrix(phi5), t(vHvar)))
Wz1 <- as.numeric(crossprod(matrix(theta1), t(Zvar)))
Wz2 <- as.numeric(crossprod(matrix(theta2), t(Zvar)))
Wz3 <- as.numeric(crossprod(matrix(theta3), t(Zvar)))
Wz4 <- as.numeric(crossprod(matrix(theta4), t(Zvar)))
epsilon1 <- Yvar - as.numeric(crossprod(matrix(beta1), t(Xvar)))
epsilon2 <- Yvar - as.numeric(crossprod(matrix(beta2), t(Xvar)))
epsilon3 <- Yvar - as.numeric(crossprod(matrix(beta3), t(Xvar)))
epsilon4 <- Yvar - as.numeric(crossprod(matrix(beta4), t(Xvar)))
epsilon5 <- Yvar - as.numeric(crossprod(matrix(beta5), t(Xvar)))
ewu1 <- exp(Wu1)
ewv1 <- exp(Wv1)
ewu2 <- exp(Wu2)
ewv2 <- exp(Wv2)
ewu3 <- exp(Wu3)
ewv3 <- exp(Wv3)
ewu4 <- exp(Wu4)
ewv4 <- exp(Wv4)
ewu5 <- exp(Wu5)
ewv5 <- exp(Wv5)
ewz1 <- exp(Wz1)
ewz2 <- exp(Wz2)
ewz3 <- exp(Wz3)
ewz4 <- exp(Wz4)
sigma_sq1 <- ewu1 + ewv1
sigma_sq2 <- ewu2 + ewv2
sigma_sq3 <- ewu3 + ewv3
sigma_sq4 <- ewu4 + ewv4
sigma_sq5 <- ewu5 + ewv5
sigmastar1 <- sqrt(ewu1 * ewv1/(sigma_sq1))
sigmastar2 <- sqrt(ewu2 * ewv2/(sigma_sq2))
sigmastar3 <- sqrt(ewu3 * ewv3/(sigma_sq3))
sigmastar4 <- sqrt(ewu4 * ewv4/(sigma_sq4))
sigmastar5 <- sqrt(ewu5 * ewv5/(sigma_sq5))
dmusig1 <- dnorm(-(S * ewu1 * (epsilon1)/((sigma_sq1) * sigmastar1)))
dmusig2 <- dnorm(-(S * ewu2 * (epsilon2)/((sigma_sq2) * sigmastar2)))
dmusig3 <- dnorm(-(S * ewu3 * (epsilon3)/((sigma_sq3) * sigmastar3)))
dmusig4 <- dnorm(-(S * ewu4 * (epsilon4)/((sigma_sq4) * sigmastar4)))
dmusig5 <- dnorm(-(S * ewu5 * (epsilon5)/((sigma_sq5) * sigmastar5)))
pmusig1 <- pnorm(-(S * ewu1 * (epsilon1)/((sigma_sq1) * sigmastar1)))
pmusig2 <- pnorm(-(S * ewu2 * (epsilon2)/((sigma_sq2) * sigmastar2)))
pmusig3 <- pnorm(-(S * ewu3 * (epsilon3)/((sigma_sq3) * sigmastar3)))
pmusig4 <- pnorm(-(S * ewu4 * (epsilon4)/((sigma_sq4) * sigmastar4)))
pmusig5 <- pnorm(-(S * ewu5 * (epsilon5)/((sigma_sq5) * sigmastar5)))
depsisq1 <- dnorm(S * (epsilon1)/sqrt(sigma_sq1))
depsisq2 <- dnorm(S * (epsilon2)/sqrt(sigma_sq2))
depsisq3 <- dnorm(S * (epsilon3)/sqrt(sigma_sq3))
depsisq4 <- dnorm(S * (epsilon4)/sqrt(sigma_sq4))
depsisq5 <- dnorm(S * (epsilon5)/sqrt(sigma_sq5))
sigx1_1 <- (dmusig1 * depsisq1 * ewu1/sigmastar1 + S * depsisq1 *
pmusig1 * (epsilon1))
sigx1_2 <- (dmusig2 * depsisq2 * ewu2/sigmastar2 + S * depsisq2 *
pmusig2 * (epsilon2))
sigx1_3 <- (dmusig3 * depsisq3 * ewu3/sigmastar3 + S * depsisq3 *
pmusig3 * (epsilon3))
sigx1_4 <- (dmusig4 * depsisq4 * ewu4/sigmastar4 + S * depsisq4 *
pmusig4 * (epsilon4))
sigx1_5 <- (dmusig5 * depsisq5 * ewu5/sigmastar5 + S * depsisq5 *
pmusig5 * (epsilon5))
sqsq1 <- ((sigma_sq1) * sigmastar1)
sqsq2 <- ((sigma_sq2) * sigmastar2)
sqsq3 <- ((sigma_sq3) * sigmastar3)
sqsq4 <- ((sigma_sq4) * sigmastar4)
sqsq5 <- ((sigma_sq5) * sigmastar5)
sigx2_1 <- (0.5 * ((1 - ewu1/(sigma_sq1)) * ewv1/sigmastar1) +
sigmastar1)
sigx2_2 <- (0.5 * ((1 - ewu2/(sigma_sq2)) * ewv2/sigmastar2) +
sigmastar2)
sigx2_3 <- (0.5 * ((1 - ewu3/(sigma_sq3)) * ewv3/sigmastar3) +
sigmastar3)
sigx2_4 <- (0.5 * ((1 - ewu4/(sigma_sq4)) * ewv4/sigmastar4) +
sigmastar4)
sigx2_5 <- (0.5 * ((1 - ewu5/(sigma_sq5)) * ewv5/sigmastar5) +
sigmastar5)
sigx3_1 <- (0.5 * ((1 - ewv1/(sigma_sq1)) * ewu1/sigmastar1) +
sigmastar1)
sigx3_2 <- (0.5 * ((1 - ewv2/(sigma_sq2)) * ewu2/sigmastar2) +
sigmastar2)
sigx3_3 <- (0.5 * ((1 - ewv3/(sigma_sq3)) * ewu3/sigmastar3) +
sigmastar3)
sigx3_4 <- (0.5 * ((1 - ewv4/(sigma_sq4)) * ewu4/sigmastar4) +
sigmastar4)
sigx3_5 <- (0.5 * ((1 - ewv5/(sigma_sq5)) * ewu5/sigmastar5) +
sigmastar5)
wzdeno <- (1 + ewz1 + ewz2 + ewz3 + ewz4)
prC <- (1 - (ewz1 + ewz2 + ewz3 + ewz4)/wzdeno)
wzdsq1 <- wzdeno * sqrt(sigma_sq1)
wzdsq2 <- wzdeno * sqrt(sigma_sq2)
wzdsq3 <- wzdeno * sqrt(sigma_sq3)
wzdsq4 <- wzdeno * sqrt(sigma_sq4)
wzlogit1 <- (depsisq1 * ewz1 * pmusig1/sqrt(sigma_sq1))
wzlogit2 <- (depsisq2 * ewz2 * pmusig2/sqrt(sigma_sq2))
wzlogit3 <- (depsisq3 * ewz3 * pmusig3/sqrt(sigma_sq3))
wzlogit4 <- (depsisq4 * ewz4 * pmusig4/sqrt(sigma_sq4))
wzlogit5 <- (prC * depsisq5 * pmusig5/sqrt(sigma_sq5))
sigx4 <- ((2 * wzlogit1 + 2 * wzlogit2 + 2 * wzlogit3 + 2 *
wzlogit4)/wzdeno + 2 * wzlogit5)
sigsq_1 <- (sigx4 * wzdeno * (sigma_sq1) * sqrt(sigma_sq1))
sigsq_2 <- (sigx4 * wzdeno * (sigma_sq2) * sqrt(sigma_sq2))
sigsq_3 <- (sigx4 * wzdeno * (sigma_sq3) * sqrt(sigma_sq3))
sigsq_4 <- (sigx4 * wzdeno * (sigma_sq4) * sqrt(sigma_sq4))
sigsq_5 <- (sigx4 * (sigma_sq5) * sqrt(sigma_sq5))
dpepsisq1 <- 0.5 * (S * depsisq1 * pmusig1 * (epsilon1)/(sigma_sq1)^2)
dpepsisq2 <- 0.5 * (S * depsisq2 * pmusig2 * (epsilon2)/(sigma_sq2)^2)
dpepsisq3 <- 0.5 * (S * depsisq3 * pmusig3 * (epsilon3)/(sigma_sq3)^2)
dpepsisq4 <- 0.5 * (S * depsisq4 * pmusig4 * (epsilon4)/(sigma_sq4)^2)
dpepsisq5 <- 0.5 * (S * depsisq5 * pmusig5 * (epsilon5)/(sigma_sq5)^2)
wzdsig <- (sigx4 * wzdeno)
dpsq1 <- (depsisq1 * pmusig1/sqrt(sigma_sq1))
dpsq2 <- (depsisq2 * pmusig2/sqrt(sigma_sq2))
dpsq3 <- (depsisq3 * pmusig3/sqrt(sigma_sq3))
dpsq4 <- (depsisq4 * pmusig4/sqrt(sigma_sq4))
dpsq5 <- (depsisq5 * pmusig5/(sigma_sq5))
sigwz1 <- sigx4 * wzdsq1
sigwz2 <- sigx4 * wzdsq2
sigwz3 <- sigx4 * wzdsq3
sigwz4 <- sigx4 * wzdsq4
sigwz5 <- sigx4 * sqrt(sigma_sq5)
sigx5_1 <- 0.5 * (depsisq1 * pmusig1/(sigma_sq1))
sigx5_2 <- 0.5 * (depsisq2 * pmusig2/(sigma_sq2))
sigx5_3 <- 0.5 * (depsisq3 * pmusig3/(sigma_sq3))
sigx5_4 <- 0.5 * (depsisq4 * pmusig4/(sigma_sq4))
sqewu1 <- (1/sqsq1 - sigx2_1 * ewu1/sqsq1^2)
sqewu2 <- (1/sqsq2 - sigx2_2 * ewu2/sqsq2^2)
sqewu3 <- (1/sqsq3 - sigx2_3 * ewu3/sqsq3^2)
sqewu4 <- (1/sqsq4 - sigx2_4 * ewu4/sqsq4^2)
sqewu5 <- (1/sqsq5 - sigx2_5 * ewu5/sqsq5^2)
sigx6_1 <- (S * (dpepsisq1 - sqewu1 * dmusig1 * depsisq1) *
(epsilon1) - sigx5_1)
sigx6_2 <- (S * (dpepsisq2 - sqewu2 * dmusig2 * depsisq2) *
(epsilon2) - sigx5_2)
sigx6_3 <- (S * (dpepsisq3 - sqewu3 * dmusig3 * depsisq3) *
(epsilon3) - sigx5_3)
sigx6_4 <- (S * (dpepsisq4 - sqewu4 * dmusig4 * depsisq4) *
(epsilon4) - sigx5_4)
sigx6_5 <- (S * (dpepsisq5 - sqewu5 * dmusig5 * depsisq5) *
(epsilon5) - 0.5 * dpsq5)
sigx7_1 <- (S * (sigx3_1 * dmusig1 * depsisq1 * ewu1/sqsq1^2 +
dpepsisq1) * (epsilon1) - sigx5_1)
sigx7_2 <- (S * (sigx3_2 * dmusig2 * depsisq2 * ewu2/sqsq2^2 +
dpepsisq2) * (epsilon2) - sigx5_2)
sigx7_3 <- (S * (sigx3_3 * dmusig3 * depsisq3 * ewu3/sqsq3^2 +
dpepsisq3) * (epsilon3) - sigx5_3)
sigx7_4 <- (S * (sigx3_4 * dmusig4 * depsisq4 * ewu4/sqsq4^2 +
dpepsisq4) * (epsilon4) - sigx5_4)
sigx7_5 <- (S * (sigx3_5 * dmusig5 * depsisq5 * ewu5/sqsq5^2 +
dpepsisq5) * (epsilon5) - 0.5 * dpsq5)
sigx4wzsq <- sigx4 * wzdeno^2
sigx8_1 <- (sigx4 * wzdeno * (sigma_sq1)/sqrt(sigma_sq1))
sigx8_2 <- (sigx4 * wzdeno * (sigma_sq2)/sqrt(sigma_sq2))
sigx8_3 <- (sigx4 * wzdeno * (sigma_sq3)/sqrt(sigma_sq3))
sigx8_4 <- (sigx4 * wzdeno * (sigma_sq4)/sqrt(sigma_sq4))
sigx9_1 <- (sigx4 * wzdeno/sqrt(sigma_sq1))
sigx9_2 <- (sigx4 * wzdeno/sqrt(sigma_sq2))
sigx9_3 <- (sigx4 * wzdeno/sqrt(sigma_sq3))
sigx9_4 <- (sigx4 * wzdeno/sqrt(sigma_sq4))
wusq1 <- 1 - ewu1/(sigma_sq1)
wvsq1 <- 1 - ewv1/(sigma_sq1)
wusq2 <- 1 - ewu2/(sigma_sq2)
wvsq2 <- 1 - ewv2/(sigma_sq2)
wusq3 <- 1 - ewu3/(sigma_sq3)
wvsq3 <- 1 - ewv3/(sigma_sq3)
wusq4 <- 1 - ewu4/(sigma_sq4)
wvsq4 <- 1 - ewv4/(sigma_sq4)
wusq5 <- 1 - ewu5/(sigma_sq5)
wvsq5 <- 1 - ewv5/(sigma_sq5)
dwp1 <- depsisq1 * ewz1 * pmusig1
dwp2 <- depsisq2 * ewz2 * pmusig2
dwp3 <- depsisq3 * ewz3 * pmusig3
dwp4 <- depsisq4 * ewz4 * pmusig4
wzlx4 <- (2 * wzlogit1 + 2 * wzlogit2 + 2 * wzlogit3 + 2 *
wzlogit4)/wzdeno
duv1 <- depsisq1 * ewu1/ewv1 + depsisq1
duv2 <- depsisq2 * ewu2/ewv2 + depsisq2
duv3 <- depsisq3 * ewu3/ewv3 + depsisq3
duv4 <- depsisq4 * ewu4/ewv4 + depsisq4
duv5 <- depsisq5 * ewu5/ewv5 + depsisq5
pepsisq1 <- (S * pmusig1 * (epsilon1)/(sigma_sq1)^2)
pepsisq2 <- (S * pmusig2 * (epsilon2)/(sigma_sq2)^2)
pepsisq3 <- (S * pmusig3 * (epsilon3)/(sigma_sq3)^2)
pepsisq4 <- (S * pmusig4 * (epsilon4)/(sigma_sq4)^2)
pepsisq5 <- (S * pmusig5 * (epsilon5)/(sigma_sq5)^2)
dep1sq1 <- depsisq1/(sigma_sq1)
dep1sq2 <- depsisq2/(sigma_sq2)
dep1sq3 <- depsisq3/(sigma_sq3)
dep1sq4 <- depsisq4/(sigma_sq4)
dep1sq5 <- depsisq5/(sigma_sq5)
sigx10_1 <- (0.5 * (S * (dmusig1 * ewu1/sigmastar1 + S *
pmusig1 * (epsilon1)) * (epsilon1)/(sigma_sq1) - pmusig1) -
0.5 * pmusig1) * dep1sq1
sigx10_2 <- (0.5 * (S * (dmusig2 * ewu2/sigmastar2 + S *
pmusig2 * (epsilon2)) * (epsilon2)/(sigma_sq2) - pmusig2) -
0.5 * pmusig2) * dep1sq2
sigx10_3 <- (0.5 * (S * (dmusig3 * ewu3/sigmastar3 + S *
pmusig3 * (epsilon3)) * (epsilon3)/(sigma_sq3) - pmusig3) -
0.5 * pmusig3) * dep1sq3
sigx10_4 <- (0.5 * (S * (dmusig4 * ewu4/sigmastar4 + S *
pmusig4 * (epsilon4)) * (epsilon4)/(sigma_sq4) - pmusig4) -
0.5 * pmusig4) * dep1sq4
sigx10_5 <- (0.5 * (S * (dmusig5 * ewu5/sigmastar5 + S *
pmusig5 * (epsilon5)) * (epsilon5)/(sigma_sq5) - pmusig5) -
0.5 * pmusig5) * dep1sq5
sigx11_1 <- (dpepsisq1 - sqewu1 * dmusig1 * depsisq1)
sigx11_2 <- (dpepsisq2 - sqewu2 * dmusig2 * depsisq2)
sigx11_3 <- (dpepsisq3 - sqewu3 * dmusig3 * depsisq3)
sigx11_4 <- (dpepsisq4 - sqewu4 * dmusig4 * depsisq4)
sigx11_5 <- (dpepsisq5 - sqewu5 * dmusig5 * depsisq5)
sigx12_1 <- ((S * sigx11_1 * (epsilon1) - depsisq1 * pmusig1/(sigma_sq1))/(sigma_sq1))
sigx12_2 <- ((S * sigx11_2 * (epsilon2) - depsisq2 * pmusig2/(sigma_sq2))/(sigma_sq2))
sigx12_3 <- ((S * sigx11_3 * (epsilon3) - depsisq3 * pmusig3/(sigma_sq3))/(sigma_sq3))
sigx12_4 <- ((S * sigx11_4 * (epsilon4) - depsisq4 * pmusig4/(sigma_sq4))/(sigma_sq4))
sigx12_5 <- ((S * sigx11_5 * (epsilon5) - depsisq5 * pmusig5/(sigma_sq5))/(sigma_sq5))
sigx13_1 <- (S * (sigx3_1 * dmusig1 * depsisq1 * ewu1/sqsq1^2 +
dpepsisq1) * (epsilon1) - depsisq1 * pmusig1/(sigma_sq1))
sigx13_2 <- (S * (sigx3_2 * dmusig2 * depsisq2 * ewu2/sqsq2^2 +
dpepsisq2) * (epsilon2) - depsisq2 * pmusig2/(sigma_sq2))
sigx13_3 <- (S * (sigx3_3 * dmusig3 * depsisq3 * ewu3/sqsq3^2 +
dpepsisq3) * (epsilon3) - depsisq3 * pmusig3/(sigma_sq3))
sigx13_4 <- (S * (sigx3_4 * dmusig4 * depsisq4 * ewu4/sqsq4^2 +
dpepsisq4) * (epsilon4) - depsisq4 * pmusig4/(sigma_sq4))
sigx13_5 <- (S * (sigx3_5 * dmusig5 * depsisq5 * ewu5/sqsq5^2 +
dpepsisq5) * (epsilon5) - depsisq5 * pmusig5/(sigma_sq5))
wzsigx4_1 <- ((sigwz5)^2 * wzdeno * (sigma_sq1)^(3/2))
wzsigx4_2 <- ((sigwz5)^2 * wzdeno * (sigma_sq2)^(3/2))
wzsigx4_3 <- ((sigwz5)^2 * wzdeno * (sigma_sq3)^(3/2))
wzsigx4_4 <- ((sigwz5)^2 * wzdeno * (sigma_sq4)^(3/2))
sigx4wsq1 <- ((2 * dpsq1 - sigx4)/wzdsig^2)
sigx4wsq2 <- ((2 * dpsq2 - sigx4)/wzdsig^2)
sigx4wsq3 <- ((2 * dpsq3 - sigx4)/wzdsig^2)
sigx4wsq4 <- ((2 * dpsq4 - sigx4)/wzdsig^2)
sigx4w1z <- (2 * sigx4wsq1 + 2/(sigx4wzsq))
sigx4w2z <- (2 * sigx4wsq2 + 2/(sigx4wzsq))
sigx4w3z <- (2 * sigx4wsq3 + 2/(sigx4wzsq))
sigx4w4z <- (2 * sigx4wsq4 + 2/(sigx4wzsq))
sigx4w5z <- ((2 - 2 * (ewz1/wzdeno))/wzdsig - 2 * ((2 * dpsq1 -
sigx4) * ewz1/wzdsig^2))
sigx4w6z <- ((2 - 2 * (ewz2/wzdeno))/wzdsig - 2 * ((2 * dpsq2 -
sigx4) * ewz2/wzdsig^2))
sigx4w7z <- ((2 - 2 * (ewz3/wzdeno))/wzdsig - 2 * ((2 * dpsq3 -
sigx4) * ewz3/wzdsig^2))
sigx4w8z <- ((2 - 2 * (ewz4/wzdeno))/wzdsig - 2 * ((2 * dpsq4 -
sigx4) * ewz4/wzdsig^2))
sigx4w9z <- (2 * (wzdeno * sigx4wsq1) + 2/wzdsig)
sigx4w10z <- (2 * (wzdeno * sigx4wsq2) + 2/wzdsig)
sigx4w11z <- (2 * (wzdeno * sigx4wsq3) + 2/wzdsig)
sigx4w12z <- (2 * (wzdeno * sigx4wsq4) + 2/wzdsig)
sigx4w13z <- (0.5 * (sigx4/sqrt(sigma_sq5)) + 2 * (prC *
sigx6_5))
sigx4w14z <- (sigx4 * (sigma_sq5)/sqrt(sigma_sq5))
sigx4w15z <- (2 * dpsq1 - sigx4)
sigx4w16z <- (2 * dpsq2 - sigx4)
sigx4w17z <- (2 * dpsq3 - sigx4)
sigx4w18z <- (2 * dpsq4 - sigx4)
sigx4w19z <- (sigx4w15z * sqrt(sigma_sq5)/(sigwz5)^2 + 1/(sigwz5))
sigx4w20z <- (sigx4w16z * sqrt(sigma_sq5)/(sigwz5)^2 + 1/(sigwz5))
sigx4w21z <- (sigx4w17z * sqrt(sigma_sq5)/(sigwz5)^2 + 1/(sigwz5))
sigx4w22z <- (sigx4w18z * sqrt(sigma_sq5)/(sigwz5)^2 + 1/(sigwz5))
dwz1 <- (wzdsig^2 * sqrt(sigma_sq1))
dwz2 <- (wzdsig^2 * sqrt(sigma_sq2))
dwz3 <- (wzdsig^2 * sqrt(sigma_sq3))
dwz4 <- (wzdsig^2 * sqrt(sigma_sq4))
dwzep1 <- depsisq1 * pmusig1/dwz1
dwzep2 <- depsisq2 * pmusig2/dwz2
dwzep3 <- depsisq3 * pmusig3/dwz3
dwzep4 <- depsisq4 * pmusig4/dwz4
wzc1 <- sigsq_5^2 * wzdeno
wzc2 <- sigx4 * wzdeno
sigx14_1 <- (0.5 * pepsisq1 - sqewu1 * dmusig1)
sigx14_2 <- (0.5 * pepsisq2 - sqewu2 * dmusig2)
sigx14_3 <- (0.5 * pepsisq3 - sqewu3 * dmusig3)
sigx14_4 <- (0.5 * pepsisq4 - sqewu4 * dmusig4)
sigx14_5 <- (0.5 * pepsisq5 - sqewu5 * dmusig5)
sigx15_1 <- (S * depsisq1 * (S * sigx14_1 * (epsilon1) -
2 * (pmusig1/(sigma_sq1))) * (epsilon1)/(sigma_sq1)^2)
sigx15_2 <- (S * depsisq2 * (S * sigx14_2 * (epsilon2) -
2 * (pmusig2/(sigma_sq2))) * (epsilon2)/(sigma_sq2)^2)
sigx15_3 <- (S * depsisq3 * (S * sigx14_3 * (epsilon3) -
2 * (pmusig3/(sigma_sq3))) * (epsilon3)/(sigma_sq3)^2)
sigx15_4 <- (S * depsisq4 * (S * sigx14_4 * (epsilon4) -
2 * (pmusig4/(sigma_sq4))) * (epsilon4)/(sigma_sq4)^2)
sigx15_5 <- (S * depsisq5 * (S * sigx14_5 * (epsilon5) -
2 * (pmusig5/(sigma_sq5))) * (epsilon5)/(sigma_sq5)^2)
sigx16_1 <- (sigx3_1 * dmusig1 * ewu1/sqsq1^2 + 0.5 * pepsisq1)
sigx16_2 <- (sigx3_2 * dmusig2 * ewu2/sqsq2^2 + 0.5 * pepsisq2)
sigx16_3 <- (sigx3_3 * dmusig3 * ewu3/sqsq3^2 + 0.5 * pepsisq3)
sigx16_4 <- (sigx3_4 * dmusig4 * ewu4/sqsq4^2 + 0.5 * pepsisq4)
sigx16_5 <- (sigx3_5 * dmusig5 * ewu5/sqsq5^2 + 0.5 * pepsisq5)
s3xq1 <- (sigma_sq1) * sigmastar1/sqsq1^2
s3xq2 <- (sigma_sq2) * sigmastar2/sqsq2^2
s3xq3 <- (sigma_sq3) * sigmastar3/sqsq3^2
s3xq4 <- (sigma_sq4) * sigmastar4/sqsq4^2
s3xq5 <- (sigma_sq5) * sigmastar5/sqsq5^2
sigx17_1 <- (0.5 * sigx9_1 + 2 * (ewz1 * sigx6_1))
sigx17_2 <- (0.5 * sigx9_2 + 2 * (ewz2 * sigx6_2))
sigx17_3 <- (0.5 * sigx9_3 + 2 * (ewz3 * sigx6_3))
sigx17_4 <- (0.5 * sigx9_4 + 2 * (ewz4 * sigx6_4))
sigx18_1 <- (0.5 * sigx9_1 + 2 * (ewz1 * sigx7_1))
sigx18_2 <- (0.5 * sigx9_2 + 2 * (ewz2 * sigx7_2))
sigx18_3 <- (0.5 * sigx9_3 + 2 * (ewz3 * sigx7_3))
sigx18_4 <- (0.5 * sigx9_4 + 2 * (ewz4 * sigx7_4))
sigx19_1 <- (S * sigx16_1 * (epsilon1) - 2 * (pmusig1/(sigma_sq1)))
sigx19_2 <- (S * sigx16_2 * (epsilon2) - 2 * (pmusig2/(sigma_sq2)))
sigx19_3 <- (S * sigx16_3 * (epsilon3) - 2 * (pmusig3/(sigma_sq3)))
sigx19_4 <- (S * sigx16_4 * (epsilon4) - 2 * (pmusig4/(sigma_sq4)))
sigx19_5 <- (S * sigx16_5 * (epsilon5) - 2 * (pmusig5/(sigma_sq5)))
hessll <- matrix(nrow = (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar), ncol = (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar))
hessll[1:nXvar, 1:nXvar] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = 2 * (S^2 * ((depsisq1 * (S * (dmusig1 * ewu1/sigmastar1 +
S * pmusig1 * (epsilon1)) * (epsilon1)/(sigma_sq1) -
pmusig1) + S * dmusig1 * (duv1) * ewu1 * (epsilon1)/sqsq1)/sigsq_1 -
2 * (sigx1_1^2 * ewz1/sigsq_1^2)) * ewz1) * wHvar,
FUN = "*"), Xvar)
hessll[1:nXvar, (nXvar + 1):(nXvar + nuZUvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * ((sqewu1 * dmusig1 * depsisq1 +
(S * (sigx10_1 - S * sqewu1 * dmusig1 * (duv1) *
(epsilon1)) * (epsilon1) - 0.5 * (sigx1_1/(sigma_sq1)))/(sigma_sq1))/(sigwz1) -
2 * (sigx1_1 * ewz1 * sigx6_1/((sigwz1)^2 * (sigma_sq1)))) *
ewu1 * ewz1) * wHvar, FUN = "*"), uHvar)
hessll[1:nXvar, (nXvar + nuZUvar + 1):(nXvar + nuZUvar +
nvZVvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = 2 *
(S * (((S * (sigx10_1 + S * sigx3_1 * dmusig1 * (duv1) *
ewu1 * (epsilon1)/sqsq1^2) * (epsilon1) - 0.5 * (sigx1_1/(sigma_sq1)))/(sigma_sq1) -
sigx3_1 * dmusig1 * depsisq1 * ewu1/sqsq1^2)/(sigwz1) -
2 * (sigx1_1 * ewz1 * sigx7_1/((sigwz1)^2 * (sigma_sq1)))) *
ewv1 * ewz1) * wHvar, FUN = "*"), vHvar)
hessll[1:nXvar, (nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
nuZUvar + nvZVvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(4 * (S^2 * sigx1_1 * sigx1_2 * (sigma_sq2) *
ewz1 * ewz2 * sqrt(sigma_sq2)/(sigsq_2^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), Xvar)
hessll[1:nXvar, (2 * nXvar + nuZUvar + nvZVvar + 1):(2 *
nXvar + 2 * nuZUvar + nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_1 * ewu2 * ewz1 *
ewz2 * sigx6_2 * sqrt(sigma_sq2)/((sigwz2)^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), uHvar)
hessll[1:nXvar, (2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_1 * ewv2 * ewz1 *
ewz2 * sigx7_2 * sqrt(sigma_sq2)/((sigwz2)^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), vHvar)
hessll[1:nXvar, (2 * nXvar + 2 * nuZUvar + 2 * nvZVvar +
1):(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * sigx1_1 * sigx1_3 *
(sigma_sq3) * ewz1 * ewz3 * sqrt(sigma_sq3)/(sigsq_3^2 *
(sigma_sq1)^(3/2)))) * wHvar, FUN = "*"), Xvar)
hessll[1:nXvar, (3 * nXvar + 2 * nuZUvar + 2 * nvZVvar +
1):(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_1 * ewu3 * ewz1 *
ewz3 * sigx6_3 * sqrt(sigma_sq3)/((sigwz3)^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), uHvar)
hessll[1:nXvar, (3 * nXvar + 3 * nuZUvar + 2 * nvZVvar +
1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_1 * ewv3 * ewz1 *
ewz3 * sigx7_3 * sqrt(sigma_sq3)/((sigwz3)^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), vHvar)
hessll[1:nXvar, (3 * nXvar + 3 * nuZUvar + 3 * nvZVvar +
1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * sigx1_1 * sigx1_4 *
(sigma_sq4) * ewz1 * ewz4 * sqrt(sigma_sq4)/(sigsq_4^2 *
(sigma_sq1)^(3/2)))) * wHvar, FUN = "*"), Xvar)
hessll[1:nXvar, (4 * nXvar + 3 * nuZUvar + 3 * nvZVvar +
1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_1 * ewu4 * ewz1 *
ewz4 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), uHvar)
hessll[1:nXvar, (4 * nXvar + 4 * nuZUvar + 3 * nvZVvar +
1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_1 * ewv4 * ewz1 *
ewz4 * sigx7_4 * sqrt(sigma_sq4)/((sigwz4)^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), vHvar)
hessll[1:nXvar, (4 * nXvar + 4 * nuZUvar + 4 * nvZVvar +
1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * prC * sigx1_1 * sigx1_5 *
(sigma_sq5) * ewz1 * sqrt(sigma_sq5)/(wzc1 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), Xvar)
hessll[1:nXvar, (5 * nXvar + 4 * nuZUvar + 4 * nvZVvar +
1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_1 * ewu5 *
ewz1 * sigx6_5 * sqrt(sigma_sq5)/wzsigx4_1)) * wHvar,
FUN = "*"), uHvar)
hessll[1:nXvar, (5 * nXvar + 5 * nuZUvar + 4 * nvZVvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_1 * ewv5 *
ewz1 * sigx7_5 * sqrt(sigma_sq5)/wzsigx4_1)) * wHvar,
FUN = "*"), vHvar)
hessll[1:nXvar, (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = S * sigx4w5z * sigx1_1 * ewz1/((sigma_sq1)^(3/2)) *
wHvar, FUN = "*"), Zvar)
hessll[1:nXvar, (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
2 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w2z * sigx1_1 * ewz1 * ewz2/((sigma_sq1)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[1:nXvar, (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w3z * sigx1_1 * ewz1 * ewz3/((sigma_sq1)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[1:nXvar, (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w4z * sigx1_1 * ewz1 * ewz4/((sigma_sq1)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (nXvar + 1):(nXvar +
nuZUvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = 2 *
(((ewu1 * (S * (0.5 * sigx15_1 - (0.5 * (S^2 * sqewu1 *
depsisq1 * (epsilon1)^2/(sigma_sq1)^2) - (((0.5 *
(ewu1/(sigma_sq1)) + 1 - 0.5 * (0.5 * (wusq1) + ewu1/(sigma_sq1))) *
(wusq1) * ewv1/sigmastar1 + (2 - 2 * (sigx2_1^2 *
ewu1 * (sigma_sq1)/sqsq1^2)) * sigmastar1)/sqsq1^2 +
S^2 * sqewu1^2 * ewu1 * (epsilon1)^2/sqsq1) * depsisq1) *
dmusig1) * (epsilon1) - 0.5 * sigx12_1) + S * sigx11_1 *
(epsilon1) - sigx5_1)/(sigwz1) - sigx17_1 * ewu1 *
sigx6_1/(sigwz1)^2) * ewu1 * ewz1) * wHvar, FUN = "*"),
uHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (nXvar + nuZUvar +
1):(nXvar + nuZUvar + nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((S * (((((0.5 * ((wusq1) *
ewv1) - S^2 * sigx3_1 * sqewu1 * ewu1 * (epsilon1)^2)/(sigma_sq1) +
0.5 * ((ewu1/(sigma_sq1) - 1) * ewv1/(sigma_sq1) +
1 - 0.5 * ((wusq1) * (wvsq1)))) * depsisq1/sigmastar1 +
0.5 * (S^2 * sigx3_1 * depsisq1 * (epsilon1)^2/(sigma_sq1)^2)) *
ewu1 + sigx3_1 * (1 - 2 * (sigx2_1 * ewu1 * s3xq1)) *
depsisq1) * dmusig1/sqsq1^2 + 0.5 * sigx15_1) * (epsilon1) -
0.5 * sigx12_1)/(sigwz1) - sigx17_1 * sigx7_1/(sigwz1)^2) *
ewu1 * ewv1 * ewz1) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (nXvar + nuZUvar +
nvZVvar + 1):(2 * nXvar + nuZUvar + nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_2 * ewu1 * (sigma_sq2) *
ewz1 * ewz2 * sigx6_1 * sqrt(sigma_sq2)/(sigsq_2^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (2 * nXvar + nuZUvar +
nvZVvar + 1):(2 * nXvar + 2 * nuZUvar + nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu1 * ewu2 * ewz1 * ewz2 *
sigx6_1 * sigx6_2 * sqrt(sigma_sq2)/((sigwz2)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (2 * nXvar + 2 * nuZUvar +
nvZVvar + 1):(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu1 * ewv2 * ewz1 * ewz2 *
sigx7_2 * sigx6_1 * sqrt(sigma_sq2)/((sigwz2)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (2 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_3 * ewu1 * (sigma_sq3) *
ewz1 * ewz3 * sigx6_1 * sqrt(sigma_sq3)/(sigsq_3^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (3 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu1 * ewu3 * ewz1 * ewz3 *
sigx6_1 * sigx6_3 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (3 * nXvar + 3 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu1 * ewv3 * ewz1 * ewz3 *
sigx7_3 * sigx6_1 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (3 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_4 * ewu1 * (sigma_sq4) *
ewz1 * ewz4 * sigx6_1 * sqrt(sigma_sq4)/(sigsq_4^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu1 * ewu4 * ewz1 * ewz4 *
sigx6_1 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu1 * ewv4 * ewz1 * ewz4 *
sigx7_4 * sigx6_1 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * ewu1 *
(sigma_sq5) * ewz1 * sigx6_1 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq1))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu1 * ewu5 * ewz1 *
sigx6_1 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq1))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu1 * ewv5 * ewz1 *
sigx7_5 * sigx6_1 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq1))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = sigx4w5z *
ewu1 * ewz1 * sigx6_1/sqrt(sigma_sq1) * wHvar, FUN = "*"),
Zvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w2z * ewu1 * ewz1 * ewz2 *
sigx6_1/sqrt(sigma_sq1)) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w3z * ewu1 * ewz1 * ewz3 *
sigx6_1/sqrt(sigma_sq1)) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w4z * ewu1 * ewz1 * ewz4 *
sigx6_1/sqrt(sigma_sq1)) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = 2 * (((S * ((((0.5 * (ewv1/(sigma_sq1)) -
0.5 * (0.5 * (wvsq1) + ewv1/(sigma_sq1))) * (wvsq1) +
S^2 * sigx3_1^2 * ewu1 * ewv1 * (epsilon1)^2/(sqsq1^2 *
(sigma_sq1))) * depsisq1 * ewu1/sigmastar1 +
((0.5 * (S^2 * depsisq1 * (epsilon1)^2/(sigma_sq1)^2) -
2 * (sigx3_1 * depsisq1 * s3xq1)) * ewv1 + depsisq1) *
sigx3_1) * dmusig1 * ewu1/sqsq1^2 + S * (0.5 *
(ewv1 * sigx19_1) + 0.5 * pmusig1) * depsisq1 * (epsilon1)/(sigma_sq1)^2) *
(epsilon1) - (0.5 * (depsisq1 * pmusig1) + 0.5 *
(ewv1 * sigx13_1))/(sigma_sq1))/(sigwz1) - sigx18_1 *
ewv1 * sigx7_1/(sigwz1)^2) * ewv1 * ewz1) * wHvar,
FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar)] <- crossprod(sweep(vHvar, MARGIN = 1, STATS = -(4 *
(S * sigx1_2 * (sigma_sq2) * ewv1 * ewz1 * ewz2 * sigx7_1 *
sqrt(sigma_sq2)/(sigsq_2^2 * sqrt(sigma_sq1)))) *
wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar)] <- crossprod(sweep(vHvar, MARGIN = 1,
STATS = -(4 * (ewu2 * ewv1 * ewz1 * ewz2 * sigx7_1 *
sigx6_2 * sqrt(sigma_sq2)/((sigwz2)^2 * sqrt(sigma_sq1)))) *
wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewv1 * ewv2 * ewz1 * ewz2 *
sigx7_1 * sigx7_2 * sqrt(sigma_sq2)/((sigwz2)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_3 * (sigma_sq3) *
ewv1 * ewz1 * ewz3 * sigx7_1 * sqrt(sigma_sq3)/(sigsq_3^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewu3 * ewv1 * ewz1 * ewz3 *
sigx7_1 * sigx6_3 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewv1 * ewv3 * ewz1 * ewz3 *
sigx7_1 * sigx7_3 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_4 * (sigma_sq4) *
ewv1 * ewz1 * ewz4 * sigx7_1 * sqrt(sigma_sq4)/(sigsq_4^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewu4 * ewv1 * ewz1 * ewz4 *
sigx7_1 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewv1 * ewv4 * ewz1 * ewz4 *
sigx7_1 * sigx7_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * (sigma_sq5) *
ewv1 * ewz1 * sigx7_1 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq1))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu5 * ewv1 * ewz1 *
sigx7_1 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq1))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewv1 * ewv5 * ewz1 *
sigx7_1 * sigx7_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq1))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = sigx4w5z * ewv1 * ewz1 * sigx7_1/sqrt(sigma_sq1) *
wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w2z * ewv1 * ewz1 * ewz2 *
sigx7_1/sqrt(sigma_sq1)) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w3z * ewv1 * ewz1 * ewz3 *
sigx7_1/sqrt(sigma_sq1)) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w4z * ewv1 * ewz1 * ewz4 *
sigx7_1/sqrt(sigma_sq1)) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
nuZUvar + nvZVvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = 2 * (S^2 * ((depsisq2 * (S * (dmusig2 * ewu2/sigmastar2 +
S * pmusig2 * (epsilon2)) * (epsilon2)/(sigma_sq2) -
pmusig2) + S * dmusig2 * (duv2) * ewu2 * (epsilon2)/sqsq2)/sigsq_2 -
2 * (sigx1_2^2 * ewz2/sigsq_2^2)) * ewz2) * wHvar,
FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + nvZVvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = 2 * (S * ((sqewu2 * dmusig2 * depsisq2 + (S *
(sigx10_2 - S * sqewu2 * dmusig2 * (duv2) * (epsilon2)) *
(epsilon2) - 0.5 * (sigx1_2/(sigma_sq2)))/(sigma_sq2))/(sigwz2) -
2 * (sigx1_2 * ewz2 * sigx6_2/((sigwz2)^2 * (sigma_sq2)))) *
ewu2 * ewz2) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * (((S * (sigx10_2 + S * sigx3_2 *
dmusig2 * (duv2) * ewu2 * (epsilon2)/sqsq2^2) * (epsilon2) -
0.5 * (sigx1_2/(sigma_sq2)))/(sigma_sq2) - sigx3_2 *
dmusig2 * depsisq2 * ewu2/sqsq2^2)/(sigwz2) - 2 *
(sigx1_2 * ewz2 * sigx7_2/((sigwz2)^2 * (sigma_sq2)))) *
ewv2 * ewz2) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * sigx1_2 * sigx1_3 *
(sigma_sq3) * ewz2 * ewz3 * sqrt(sigma_sq3)/(sigsq_3^2 *
(sigma_sq2)^(3/2)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_2 * ewu3 * ewz2 *
ewz3 * sigx6_3 * sqrt(sigma_sq3)/((sigwz3)^2 * (sigma_sq2)^(3/2)))) *
wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_2 * ewv3 * ewz2 *
ewz3 * sigx7_3 * sqrt(sigma_sq3)/((sigwz3)^2 * (sigma_sq2)^(3/2)))) *
wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * sigx1_2 * sigx1_4 *
(sigma_sq4) * ewz2 * ewz4 * sqrt(sigma_sq4)/(sigsq_4^2 *
(sigma_sq2)^(3/2)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_2 * ewu4 * ewz2 *
ewz4 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 * (sigma_sq2)^(3/2)))) *
wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_2 * ewv4 * ewz2 *
ewz4 * sigx7_4 * sqrt(sigma_sq4)/((sigwz4)^2 * (sigma_sq2)^(3/2)))) *
wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * prC * sigx1_2 * sigx1_5 *
(sigma_sq5) * ewz2 * sqrt(sigma_sq5)/(wzc1 * (sigma_sq2)^(3/2)))) *
wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_2 * ewu5 *
ewz2 * sigx6_5 * sqrt(sigma_sq5)/wzsigx4_2)) * wHvar,
FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_2 * ewv5 *
ewz2 * sigx7_5 * sqrt(sigma_sq5)/wzsigx4_2)) * wHvar,
FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(S * sigx4w1z * sigx1_2 * ewz1 *
ewz2/((sigma_sq2)^(3/2))) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = S * sigx4w6z * sigx1_2 * ewz2/((sigma_sq2)^(3/2)) *
wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w3z * sigx1_2 * ewz2 * ewz3/((sigma_sq2)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w4z * sigx1_2 * ewz2 * ewz4/((sigma_sq2)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (2 * nXvar + nuZUvar + nvZVvar +
1):(2 * nXvar + 2 * nuZUvar + nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((ewu2 * (S * (0.5 * sigx15_2 -
(0.5 * (S^2 * sqewu2 * depsisq2 * (epsilon2)^2/(sigma_sq2)^2) -
(((0.5 * (ewu2/(sigma_sq2)) + 1 - 0.5 * (0.5 *
(wusq2) + ewu2/(sigma_sq2))) * (wusq2) * ewv2/sigmastar2 +
(2 - 2 * (sigx2_2^2 * ewu2 * (sigma_sq2)/sqsq2^2)) *
sigmastar2)/sqsq2^2 + S^2 * sqewu2^2 * ewu2 *
(epsilon2)^2/sqsq2) * depsisq2) * dmusig2) *
(epsilon2) - 0.5 * sigx12_2) + S * sigx11_2 * (epsilon2) -
sigx5_2)/(sigwz2) - sigx17_2 * ewu2 * sigx6_2/(sigwz2)^2) *
ewu2 * ewz2) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (2 * nXvar + 2 * nuZUvar + nvZVvar +
1):(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((S * (((((0.5 * ((wusq2) *
ewv2) - S^2 * sigx3_2 * sqewu2 * ewu2 * (epsilon2)^2)/(sigma_sq2) +
0.5 * ((ewu2/(sigma_sq2) - 1) * ewv2/(sigma_sq2) +
1 - 0.5 * ((wusq2) * (wvsq2)))) * depsisq2/sigmastar2 +
0.5 * (S^2 * sigx3_2 * depsisq2 * (epsilon2)^2/(sigma_sq2)^2)) *
ewu2 + sigx3_2 * (1 - 2 * (sigx2_2 * ewu2 * s3xq2)) *
depsisq2) * dmusig2/sqsq2^2 + 0.5 * sigx15_2) * (epsilon2) -
0.5 * sigx12_2)/(sigwz2) - sigx17_2 * sigx7_2/(sigwz2)^2) *
ewu2 * ewv2 * ewz2) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (2 * nXvar + 2 * nuZUvar + 2 * nvZVvar +
1):(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_3 * ewu2 * (sigma_sq3) *
ewz2 * ewz3 * sigx6_2 * sqrt(sigma_sq3)/(sigsq_3^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (3 * nXvar + 2 * nuZUvar + 2 * nvZVvar +
1):(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu2 * ewu3 * ewz2 * ewz3 *
sigx6_2 * sigx6_3 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (3 * nXvar + 3 * nuZUvar + 2 * nvZVvar +
1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu2 * ewv3 * ewz2 * ewz3 *
sigx7_3 * sigx6_2 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (3 * nXvar + 3 * nuZUvar + 3 * nvZVvar +
1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_4 * ewu2 * (sigma_sq4) *
ewz2 * ewz4 * sigx6_2 * sqrt(sigma_sq4)/(sigsq_4^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (4 * nXvar + 3 * nuZUvar + 3 * nvZVvar +
1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu2 * ewu4 * ewz2 * ewz4 *
sigx6_2 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (4 * nXvar + 4 * nuZUvar + 3 * nvZVvar +
1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu2 * ewv4 * ewz2 * ewz4 *
sigx7_4 * sigx6_2 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (4 * nXvar + 4 * nuZUvar + 4 * nvZVvar +
1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * ewu2 *
(sigma_sq5) * ewz2 * sigx6_2 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq2))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (5 * nXvar + 4 * nuZUvar + 4 * nvZVvar +
1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu2 * ewu5 * ewz2 *
sigx6_2 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq2))) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (5 * nXvar + 5 * nuZUvar + 4 * nvZVvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu2 * ewv5 * ewz2 *
sigx7_5 * sigx6_2 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq2))) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w1z * ewu2 * ewz1 * ewz2 *
sigx6_2/sqrt(sigma_sq2)) * wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
2 * nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = sigx4w6z *
ewu2 * ewz2 * sigx6_2/sqrt(sigma_sq2) * wHvar, FUN = "*"),
Zvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = -(sigx4w3z *
ewu2 * ewz2 * ewz3 * sigx6_2/sqrt(sigma_sq2)) * wHvar,
FUN = "*"), Zvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = -(sigx4w4z *
ewu2 * ewz2 * ewz4 * sigx6_2/sqrt(sigma_sq2)) * wHvar,
FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (2 * nXvar + 2 * nuZUvar +
nvZVvar + 1):(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = 2 * (((S * ((((0.5 * (ewv2/(sigma_sq2)) -
0.5 * (0.5 * (wvsq2) + ewv2/(sigma_sq2))) * (wvsq2) +
S^2 * sigx3_2^2 * ewu2 * ewv2 * (epsilon2)^2/(sqsq2^2 *
(sigma_sq2))) * depsisq2 * ewu2/sigmastar2 +
((0.5 * (S^2 * depsisq2 * (epsilon2)^2/(sigma_sq2)^2) -
2 * (sigx3_2 * depsisq2 * s3xq2)) * ewv2 + depsisq2) *
sigx3_2) * dmusig2 * ewu2/sqsq2^2 + S * (0.5 *
(ewv2 * sigx19_2) + 0.5 * pmusig2) * depsisq2 * (epsilon2)/(sigma_sq2)^2) *
(epsilon2) - (0.5 * (depsisq2 * pmusig2) + 0.5 *
(ewv2 * sigx13_2))/(sigma_sq2))/(sigwz2) - sigx18_2 *
ewv2 * sigx7_2/(sigwz2)^2) * ewv2 * ewz2) * wHvar,
FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (2 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_3 * (sigma_sq3) *
ewv2 * ewz2 * ewz3 * sigx7_2 * sqrt(sigma_sq3)/(sigsq_3^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewu3 * ewv2 * ewz2 * ewz3 *
sigx7_2 * sigx6_3 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewv2 * ewv3 * ewz2 * ewz3 *
sigx7_2 * sigx7_3 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_4 * (sigma_sq4) *
ewv2 * ewz2 * ewz4 * sigx7_2 * sqrt(sigma_sq4)/(sigsq_4^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewu4 * ewv2 * ewz2 * ewz4 *
sigx7_2 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewv2 * ewv4 * ewz2 * ewz4 *
sigx7_2 * sigx7_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * (sigma_sq5) *
ewv2 * ewz2 * sigx7_2 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq2))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu5 * ewv2 * ewz2 *
sigx7_2 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq2))) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewv2 * ewv5 * ewz2 *
sigx7_2 * sigx7_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq2))) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(vHvar, MARGIN = 1, STATS = -(sigx4w1z *
ewv2 * ewz1 * ewz2 * sigx7_2/sqrt(sigma_sq2)) * wHvar,
FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = sigx4w6z * ewv2 * ewz2 * sigx7_2/sqrt(sigma_sq2) *
wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w3z * ewv2 * ewz2 * ewz3 *
sigx7_2/sqrt(sigma_sq2)) * wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w4z * ewv2 * ewz2 * ewz4 *
sigx7_2/sqrt(sigma_sq2)) * wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (2 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S^2 * ((depsisq3 * (S * (dmusig3 *
ewu3/sigmastar3 + S * pmusig3 * (epsilon3)) * (epsilon3)/(sigma_sq3) -
pmusig3) + S * dmusig3 * (duv3) * ewu3 * (epsilon3)/sqsq3)/sigsq_3 -
2 * (sigx1_3^2 * ewz3/sigsq_3^2)) * ewz3) * wHvar,
FUN = "*"), Xvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * ((sqewu3 * dmusig3 * depsisq3 +
(S * (sigx10_3 - S * sqewu3 * dmusig3 * (duv3) *
(epsilon3)) * (epsilon3) - 0.5 * (sigx1_3/(sigma_sq3)))/(sigma_sq3))/(sigwz3) -
2 * (sigx1_3 * ewz3 * sigx6_3/((sigwz3)^2 * (sigma_sq3)))) *
ewu3 * ewz3) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * (((S * (sigx10_3 + S * sigx3_3 *
dmusig3 * (duv3) * ewu3 * (epsilon3)/sqsq3^2) * (epsilon3) -
0.5 * (sigx1_3/(sigma_sq3)))/(sigma_sq3) - sigx3_3 *
dmusig3 * depsisq3 * ewu3/sqsq3^2)/(sigwz3) - 2 *
(sigx1_3 * ewz3 * sigx7_3/((sigwz3)^2 * (sigma_sq3)))) *
ewv3 * ewz3) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * sigx1_3 * sigx1_4 *
(sigma_sq4) * ewz3 * ewz4 * sqrt(sigma_sq4)/(sigsq_4^2 *
(sigma_sq3)^(3/2)))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_3 * ewu4 * ewz3 *
ewz4 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 * (sigma_sq3)^(3/2)))) *
wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_3 * ewv4 * ewz3 *
ewz4 * sigx7_4 * sqrt(sigma_sq4)/((sigwz4)^2 * (sigma_sq3)^(3/2)))) *
wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * prC * sigx1_3 * sigx1_5 *
(sigma_sq5) * ewz3 * sqrt(sigma_sq5)/(wzc1 * (sigma_sq3)^(3/2)))) *
wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_3 * ewu5 *
ewz3 * sigx6_5 * sqrt(sigma_sq5)/wzsigx4_3)) * wHvar,
FUN = "*"), uHvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_3 * ewv5 *
ewz3 * sigx7_5 * sqrt(sigma_sq5)/wzsigx4_3)) * wHvar,
FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w1z * sigx1_3 * ewz1 * ewz3/((sigma_sq3)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * sigx4w2z * sigx1_3 * ewz2 * ewz3/((sigma_sq3)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = S * sigx4w7z * sigx1_3 * ewz3/((sigma_sq3)^(3/2)) *
wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * sigx4w4z * sigx1_3 * ewz3 * ewz4/((sigma_sq3)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((ewu3 * (S * (0.5 * sigx15_3 -
(0.5 * (S^2 * sqewu3 * depsisq3 * (epsilon3)^2/(sigma_sq3)^2) -
(((0.5 * (ewu3/(sigma_sq3)) + 1 - 0.5 * (0.5 *
(wusq3) + ewu3/(sigma_sq3))) * (wusq3) * ewv3/sigmastar3 +
(2 - 2 * (sigx2_3^2 * ewu3 * (sigma_sq3)/sqsq3^2)) *
sigmastar3)/sqsq3^2 + S^2 * sqewu3^2 * ewu3 *
(epsilon3)^2/sqsq3) * depsisq3) * dmusig3) *
(epsilon3) - 0.5 * sigx12_3) + S * sigx11_3 * (epsilon3) -
sigx5_3)/(sigwz3) - sigx17_3 * ewu3 * sigx6_3/(sigwz3)^2) *
ewu3 * ewz3) * wHvar, FUN = "*"), uHvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((S * (((((0.5 * ((wusq3) *
ewv3) - S^2 * sigx3_3 * sqewu3 * ewu3 * (epsilon3)^2)/(sigma_sq3) +
0.5 * ((ewu3/(sigma_sq3) - 1) * ewv3/(sigma_sq3) +
1 - 0.5 * ((wusq3) * (wvsq3)))) * depsisq3/sigmastar3 +
0.5 * (S^2 * sigx3_3 * depsisq3 * (epsilon3)^2/(sigma_sq3)^2)) *
ewu3 + sigx3_3 * (1 - 2 * (sigx2_3 * ewu3 * s3xq3)) *
depsisq3) * dmusig3/sqsq3^2 + 0.5 * sigx15_3) * (epsilon3) -
0.5 * sigx12_3)/(sigwz3) - sigx17_3 * sigx7_3/(sigwz3)^2) *
ewu3 * ewv3 * ewz3) * wHvar, FUN = "*"), vHvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_4 * ewu3 * (sigma_sq4) *
ewz3 * ewz4 * sigx6_3 * sqrt(sigma_sq4)/(sigsq_4^2 *
sqrt(sigma_sq3)))) * wHvar, FUN = "*"), Xvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu3 * ewu4 * ewz3 * ewz4 *
sigx6_3 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq3)))) * wHvar, FUN = "*"), uHvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu3 * ewv4 * ewz3 * ewz4 *
sigx7_4 * sigx6_3 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq3)))) * wHvar, FUN = "*"), vHvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * ewu3 *
(sigma_sq5) * ewz3 * sigx6_3 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq3))) * wHvar, FUN = "*"), Xvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu3 * ewu5 * ewz3 *
sigx6_3 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq3))) * wHvar, FUN = "*"), uHvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu3 * ewv5 * ewz3 *
sigx7_5 * sigx6_3 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq3))) * wHvar, FUN = "*"), vHvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = -(sigx4w1z *
ewu3 * ewz1 * ewz3 * sigx6_3/sqrt(sigma_sq3)) * wHvar,
FUN = "*"), Zvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w2z * ewu3 * ewz2 * ewz3 *
sigx6_3/sqrt(sigma_sq3)) * wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = sigx4w7z * ewu3 * ewz3 * sigx6_3/sqrt(sigma_sq3) *
wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w4z * ewu3 * ewz3 * ewz4 *
sigx6_3/sqrt(sigma_sq3)) * wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = 2 * (((S * ((((0.5 * (ewv3/(sigma_sq3)) -
0.5 * (0.5 * (wvsq3) + ewv3/(sigma_sq3))) * (wvsq3) +
S^2 * sigx3_3^2 * ewu3 * ewv3 * (epsilon3)^2/(sqsq3^2 *
(sigma_sq3))) * depsisq3 * ewu3/sigmastar3 +
((0.5 * (S^2 * depsisq3 * (epsilon3)^2/(sigma_sq3)^2) -
2 * (sigx3_3 * depsisq3 * s3xq3)) * ewv3 + depsisq3) *
sigx3_3) * dmusig3 * ewu3/sqsq3^2 + S * (0.5 *
(ewv3 * sigx19_3) + 0.5 * pmusig3) * depsisq3 * (epsilon3)/(sigma_sq3)^2) *
(epsilon3) - (0.5 * (depsisq3 * pmusig3) + 0.5 *
(ewv3 * sigx13_3))/(sigma_sq3))/(sigwz3) - sigx18_3 *
ewv3 * sigx7_3/(sigwz3)^2) * ewv3 * ewz3) * wHvar,
FUN = "*"), vHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_4 * (sigma_sq4) *
ewv3 * ewz3 * ewz4 * sigx7_3 * sqrt(sigma_sq4)/(sigsq_4^2 *
sqrt(sigma_sq3)))) * wHvar, FUN = "*"), Xvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewu4 * ewv3 * ewz3 * ewz4 *
sigx7_3 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq3)))) * wHvar, FUN = "*"), uHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewv3 * ewv4 * ewz3 * ewz4 *
sigx7_3 * sigx7_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq3)))) * wHvar, FUN = "*"), vHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * (sigma_sq5) *
ewv3 * ewz3 * sigx7_3 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq3))) * wHvar, FUN = "*"), Xvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu5 * ewv3 * ewz3 *
sigx7_3 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq3))) * wHvar, FUN = "*"), uHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewv3 * ewv5 * ewz3 *
sigx7_3 * sigx7_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq3))) * wHvar, FUN = "*"), vHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(vHvar, MARGIN = 1, STATS = -(sigx4w1z *
ewv3 * ewz1 * ewz3 * sigx7_3/sqrt(sigma_sq3)) * wHvar,
FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w2z * ewv3 * ewz2 * ewz3 *
sigx7_3/sqrt(sigma_sq3)) * wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = sigx4w7z * ewv3 * ewz3 * sigx7_3/sqrt(sigma_sq3) *
wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w4z * ewv3 * ewz3 * ewz4 *
sigx7_3/sqrt(sigma_sq3)) * wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S^2 * ((depsisq4 * (S * (dmusig4 *
ewu4/sigmastar4 + S * pmusig4 * (epsilon4)) * (epsilon4)/(sigma_sq4) -
pmusig4) + S * dmusig4 * (duv4) * ewu4 * (epsilon4)/sqsq4)/sigsq_4 -
2 * (sigx1_4^2 * ewz4/sigsq_4^2)) * ewz4) * wHvar,
FUN = "*"), Xvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * ((sqewu4 * dmusig4 * depsisq4 +
(S * (sigx10_4 - S * sqewu4 * dmusig4 * (duv4) *
(epsilon4)) * (epsilon4) - 0.5 * (sigx1_4/(sigma_sq4)))/(sigma_sq4))/(sigwz4) -
2 * (sigx1_4 * ewz4 * sigx6_4/((sigwz4)^2 * (sigma_sq4)))) *
ewu4 * ewz4) * wHvar, FUN = "*"), uHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * (((S * (sigx10_4 + S * sigx3_4 *
dmusig4 * (duv4) * ewu4 * (epsilon4)/sqsq4^2) * (epsilon4) -
0.5 * (sigx1_4/(sigma_sq4)))/(sigma_sq4) - sigx3_4 *
dmusig4 * depsisq4 * ewu4/sqsq4^2)/(sigwz4) - 2 *
(sigx1_4 * ewz4 * sigx7_4/((sigwz4)^2 * (sigma_sq4)))) *
ewv4 * ewz4) * wHvar, FUN = "*"), vHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * prC * sigx1_4 * sigx1_5 *
(sigma_sq5) * ewz4 * sqrt(sigma_sq5)/(wzc1 * (sigma_sq4)^(3/2)))) *
wHvar, FUN = "*"), Xvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_4 * ewu5 *
ewz4 * sigx6_5 * sqrt(sigma_sq5)/wzsigx4_4)) * wHvar,
FUN = "*"), uHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_4 * ewv5 *
ewz4 * sigx7_5 * sqrt(sigma_sq5)/wzsigx4_4)) * wHvar,
FUN = "*"), vHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w1z * sigx1_4 * ewz1 * ewz4/((sigma_sq4)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * sigx4w2z * sigx1_4 * ewz2 * ewz4/((sigma_sq4)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * sigx4w3z * sigx1_4 * ewz3 * ewz4/((sigma_sq4)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = S * sigx4w8z * sigx1_4 * ewz4/((sigma_sq4)^(3/2)) *
wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((ewu4 * (S * (0.5 * sigx15_4 -
(0.5 * (S^2 * sqewu4 * depsisq4 * (epsilon4)^2/(sigma_sq4)^2) -
(((0.5 * (ewu4/(sigma_sq4)) + 1 - 0.5 * (0.5 *
(wusq4) + ewu4/(sigma_sq4))) * (wusq4) * ewv4/sigmastar4 +
(2 - 2 * (sigx2_4^2 * ewu4 * (sigma_sq4)/sqsq4^2)) *
sigmastar4)/sqsq4^2 + S^2 * sqewu4^2 * ewu4 *
(epsilon4)^2/sqsq4) * depsisq4) * dmusig4) *
(epsilon4) - 0.5 * sigx12_4) + S * sigx11_4 * (epsilon4) -
sigx5_4)/(sigwz4) - sigx17_4 * ewu4 * sigx6_4/(sigwz4)^2) *
ewu4 * ewz4) * wHvar, FUN = "*"), uHvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((S * (((((0.5 * ((wusq4) *
ewv4) - S^2 * sigx3_4 * sqewu4 * ewu4 * (epsilon4)^2)/(sigma_sq4) +
0.5 * ((ewu4/(sigma_sq4) - 1) * ewv4/(sigma_sq4) +
1 - 0.5 * ((wusq4) * (wvsq4)))) * depsisq4/sigmastar4 +
0.5 * (S^2 * sigx3_4 * depsisq4 * (epsilon4)^2/(sigma_sq4)^2)) *
ewu4 + sigx3_4 * (1 - 2 * (sigx2_4 * ewu4 * s3xq4)) *
depsisq4) * dmusig4/sqsq4^2 + 0.5 * sigx15_4) * (epsilon4) -
0.5 * sigx12_4)/(sigwz4) - sigx17_4 * sigx7_4/(sigwz4)^2) *
ewu4 * ewv4 * ewz4) * wHvar, FUN = "*"), vHvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * ewu4 *
(sigma_sq5) * ewz4 * sigx6_4 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq4))) * wHvar, FUN = "*"), Xvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu4 * ewu5 * ewz4 *
sigx6_4 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq4))) * wHvar, FUN = "*"), uHvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu4 * ewv5 * ewz4 *
sigx7_5 * sigx6_4 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq4))) * wHvar, FUN = "*"), vHvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = -(sigx4w1z *
ewu4 * ewz1 * ewz4 * sigx6_4/sqrt(sigma_sq4)) * wHvar,
FUN = "*"), Zvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w2z * ewu4 * ewz2 * ewz4 *
sigx6_4/sqrt(sigma_sq4)) * wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w3z * ewu4 * ewz3 * ewz4 *
sigx6_4/sqrt(sigma_sq4)) * wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = sigx4w8z * ewu4 * ewz4 * sigx6_4/sqrt(sigma_sq4) *
wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = 2 * (((S * ((((0.5 * (ewv4/(sigma_sq4)) -
0.5 * (0.5 * (wvsq4) + ewv4/(sigma_sq4))) * (wvsq4) +
S^2 * sigx3_4^2 * ewu4 * ewv4 * (epsilon4)^2/(sqsq4^2 *
(sigma_sq4))) * depsisq4 * ewu4/sigmastar4 +
((0.5 * (S^2 * depsisq4 * (epsilon4)^2/(sigma_sq4)^2) -
2 * (sigx3_4 * depsisq4 * s3xq4)) * ewv4 + depsisq4) *
sigx3_4) * dmusig4 * ewu4/sqsq4^2 + S * (0.5 *
(ewv4 * sigx19_4) + 0.5 * pmusig4) * depsisq4 * (epsilon4)/(sigma_sq4)^2) *
(epsilon4) - (0.5 * (depsisq4 * pmusig4) + 0.5 *
(ewv4 * sigx13_4))/(sigma_sq4))/(sigwz4) - sigx18_4 *
ewv4 * sigx7_4/(sigwz4)^2) * ewv4 * ewz4) * wHvar,
FUN = "*"), vHvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * (sigma_sq5) *
ewv4 * ewz4 * sigx7_4 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq4))) * wHvar, FUN = "*"), Xvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu5 * ewv4 * ewz4 *
sigx7_4 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq4))) * wHvar, FUN = "*"), uHvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewv4 * ewv5 * ewz4 *
sigx7_4 * sigx7_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq4))) * wHvar, FUN = "*"), vHvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(vHvar, MARGIN = 1, STATS = -(sigx4w1z *
ewv4 * ewz1 * ewz4 * sigx7_4/sqrt(sigma_sq4)) * wHvar,
FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w2z * ewv4 * ewz2 * ewz4 *
sigx7_4/sqrt(sigma_sq4)) * wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w3z * ewv4 * ewz3 * ewz4 *
sigx7_4/sqrt(sigma_sq4)) * wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = sigx4w8z * ewv4 * ewz4 * sigx7_4/sqrt(sigma_sq4) *
wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S^2 * ((depsisq5 * (S * (dmusig5 *
ewu5/sigmastar5 + S * pmusig5 * (epsilon5)) * (epsilon5)/(sigma_sq5) -
pmusig5) + S * dmusig5 * (duv5) * ewu5 * (epsilon5)/sqsq5)/sigsq_5 -
2 * (prC * sigx1_5^2/sigsq_5^2)) * prC) * wHvar,
FUN = "*"), Xvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * ((sqewu5 * dmusig5 * depsisq5 +
(S * (sigx10_5 - S * sqewu5 * dmusig5 * (duv5) *
(epsilon5)) * (epsilon5) - 0.5 * (sigx1_5/(sigma_sq5)))/(sigma_sq5))/(sigwz5) -
2 * (prC * sigx1_5 * sigx6_5/((sigwz5)^2 * (sigma_sq5)))) *
prC * ewu5) * wHvar, FUN = "*"), uHvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * (((S * (sigx10_5 + S * sigx3_5 *
dmusig5 * (duv5) * ewu5 * (epsilon5)/sqsq5^2) * (epsilon5) -
0.5 * (sigx1_5/(sigma_sq5)))/(sigma_sq5) - sigx3_5 *
dmusig5 * depsisq5 * ewu5/sqsq5^2)/(sigwz5) - 2 *
(prC * sigx1_5 * sigx7_5/((sigwz5)^2 * (sigma_sq5)))) *
prC * ewv5) * wHvar, FUN = "*"), vHvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
prC * sigx4w9z * sigx1_5 * ewz1/((sigma_sq5)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * prC * sigx4w10z * sigx1_5 * ewz2/((sigma_sq5)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * prC * sigx4w11z * sigx1_5 * ewz3/((sigma_sq5)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * prC * sigx4w12z * sigx1_5 * ewz4/((sigma_sq5)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((ewu5 * (S * (0.5 * sigx15_5 -
(0.5 * (S^2 * sqewu5 * depsisq5 * (epsilon5)^2/(sigma_sq5)^2) -
(((0.5 * (ewu5/(sigma_sq5)) + 1 - 0.5 * (0.5 *
(wusq5) + ewu5/(sigma_sq5))) * (wusq5) * ewv5/sigmastar5 +
(2 - 2 * (sigx2_5^2 * ewu5 * (sigma_sq5)/sqsq5^2)) *
sigmastar5)/sqsq5^2 + S^2 * sqewu5^2 * ewu5 *
(epsilon5)^2/sqsq5) * depsisq5) * dmusig5) *
(epsilon5) - 0.5 * sigx12_5) + S * sigx11_5 * (epsilon5) -
0.5 * dpsq5)/(sigwz5) - sigx4w13z * ewu5 * sigx6_5/(sigwz5)^2) *
prC * ewu5) * wHvar, FUN = "*"), uHvar)
hessll[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((S * (((((0.5 * ((wusq5) *
ewv5) - S^2 * sigx3_5 * sqewu5 * ewu5 * (epsilon5)^2)/(sigma_sq5) +
0.5 * ((ewu5/(sigma_sq5) - 1) * ewv5/(sigma_sq5) +
1 - 0.5 * ((wusq5) * (wvsq5)))) * depsisq5/sigmastar5 +
0.5 * (S^2 * sigx3_5 * depsisq5 * (epsilon5)^2/(sigma_sq5)^2)) *
ewu5 + sigx3_5 * (1 - 2 * (sigx2_5 * ewu5 * s3xq5)) *
depsisq5) * dmusig5/sqsq5^2 + 0.5 * sigx15_5) * (epsilon5) -
0.5 * sigx12_5)/(sigwz5) - sigx4w13z * sigx7_5/(sigwz5)^2) *
prC * ewu5 * ewv5) * wHvar, FUN = "*"), vHvar)
hessll[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = -(prC *
sigx4w9z * ewu5 * ewz1 * sigx6_5/sqrt(sigma_sq5)) * wHvar,
FUN = "*"), Zvar)
hessll[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(prC * sigx4w10z * ewu5 * ewz2 *
sigx6_5/sqrt(sigma_sq5)) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(prC * sigx4w11z * ewu5 * ewz3 *
sigx6_5/sqrt(sigma_sq5)) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(prC * sigx4w12z * ewu5 * ewz4 *
sigx6_5/sqrt(sigma_sq5)) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = 2 * (((S * ((((0.5 * (ewv5/(sigma_sq5)) -
0.5 * (0.5 * (wvsq5) + ewv5/(sigma_sq5))) * (wvsq5) +
S^2 * sigx3_5^2 * ewu5 * ewv5 * (epsilon5)^2/(sqsq5^2 *
(sigma_sq5))) * depsisq5 * ewu5/sigmastar5 +
((0.5 * (S^2 * depsisq5 * (epsilon5)^2/(sigma_sq5)^2) -
2 * (sigx3_5 * depsisq5 * s3xq5)) * ewv5 + depsisq5) *
sigx3_5) * dmusig5 * ewu5/sqsq5^2 + S * (0.5 *
(ewv5 * sigx19_5) + 0.5 * pmusig5) * depsisq5 * (epsilon5)/(sigma_sq5)^2) *
(epsilon5) - (0.5 * (depsisq5 * pmusig5) + 0.5 *
(ewv5 * sigx13_5))/(sigma_sq5))/(sigwz5) - (0.5 *
(sigx4/sqrt(sigma_sq5)) + 2 * (prC * sigx7_5)) *
ewv5 * sigx7_5/(sigwz5)^2) * prC * ewv5) * wHvar,
FUN = "*"), vHvar)
hessll[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(vHvar, MARGIN = 1, STATS = -(prC *
sigx4w9z * ewv5 * ewz1 * sigx7_5/sqrt(sigma_sq5)) * wHvar,
FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(prC * sigx4w10z * ewv5 * ewz2 *
sigx7_5/sqrt(sigma_sq5)) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(prC * sigx4w11z * ewv5 * ewz3 *
sigx7_5/sqrt(sigma_sq5)) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(prC * sigx4w12z * ewv5 * ewz4 *
sigx7_5/sqrt(sigma_sq5)) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + nZHvar), (5 * nXvar + 5 *
nuZUvar + 5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar)] <- crossprod(sweep(Zvar, MARGIN = 1,
STATS = ((1 - ewz1/wzdeno)/wzdsig - 2 * (dwp1/dwz1)) *
sigx4w15z * ewz1 * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + nZHvar), (5 * nXvar + 5 *
nuZUvar + 5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 *
nuZUvar + 5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = -((sigx4w15z/(sigx4wzsq) + 2 * (sigx4w16z *
dwzep1)) * ewz1 * ewz2) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + nZHvar), (5 * nXvar + 5 *
nuZUvar + 5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = -((sigx4w15z/(sigx4wzsq) + 2 * (sigx4w17z *
dwzep1)) * ewz1 * ewz3) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + nZHvar), (5 * nXvar + 5 *
nuZUvar + 5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = -((sigx4w15z/(sigx4wzsq) + 2 * (sigx4w18z *
dwzep1)) * ewz1 * ewz4) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = ((1 - ewz2/wzdeno)/wzdsig - 2 * (dwp2/dwz2)) *
sigx4w16z * ewz2 * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = -((sigx4w16z/(sigx4wzsq) + 2 * (sigx4w17z *
dwzep2)) * ewz2 * ewz3) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = -((sigx4w16z/(sigx4wzsq) + 2 * (sigx4w18z *
dwzep2)) * ewz2 * ewz4) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = ((1 - ewz3/wzdeno)/wzdsig - 2 * (dwp3/dwz3)) *
sigx4w17z * ewz3 * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = -((sigx4w17z/(sigx4wzsq) + 2 * (sigx4w18z *
dwzep3)) * ewz3 * ewz4) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 4 * nZHvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = ((1 - ewz4/wzdeno)/wzdsig - 2 * (dwp4/dwz4)) *
sigx4w18z * ewz4 * wHvar, FUN = "*"), Zvar)
hessll[lower.tri(hessll)] <- t(hessll)[lower.tri(hessll)]
# hessll <- (hessll + (hessll))/2
return(hessll)
}
# Optimization using different algorithms ----------
#' optimizations solve for lcm 5 classes halfnormal-normal distribution
#' @param start starting value for optimization
#' @param olsParam OLS coefficients
#' @param dataTable dataframe contains id of observations
#' @param nXvar number of main variables (inputs + env. var)
#' @param nuZUvar number of Zu variables
#' @param nvZVvar number of Zv variables
#' @param uHvar matrix of Zu variables
#' @param vHvar matrix of Zv variables
#' @param Yvar vector of dependent variable
#' @param Xvar matrix of main variables
#' @param Zvar matrix of separating variables
#' @param nZHvar number of separating variables
#' @param S integer for cost/prod estimation
#' @param wHvar vector of weights (weighted likelihood)
#' @param method algorithm for solver
#' @param printInfo logical print info during optimization
#' @param itermax maximum iteration
#' @param whichStart strategy to get starting values
#' @param initIter maximum iterations for initialization
#' @param initAlg algorithm for maxLik
#' @param stepmax stepmax for ucminf
#' @param tol parameter tolerance
#' @param gradtol gradient tolerance
#' @param hessianType how hessian is computed
#' @param qac qac option for maxLik
#' @noRd
LCM5ChnormAlgOpt <- function(start, olsParam, dataTable, S, wHvar,
nXvar, uHvar, nuZUvar, vHvar, nvZVvar, Zvar, nZHvar, Yvar,
Xvar, method, printInfo, itermax, stepmax, tol, gradtol,
whichStart, initIter, initAlg, hessianType, qac) {
if (!is.null(start)) {
startVal <- start
} else {
start_st <- csLCMfhalfnorm5C(olsObj = olsParam, epsiRes = dataTable[["olsResiduals"]],
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar,
whichStart = whichStart, initIter = initIter, initAlg = initAlg,
tol = tol, printInfo = printInfo)
initHalf <- start_st$initHalf
startVal <- start_st$StartVal
}
startLoglik <- sum(cLCMhalfnormlike5C(startVal, nXvar = nXvar,
nuZUvar = nuZUvar, nvZVvar = nvZVvar, uHvar = uHvar,
vHvar = vHvar, Yvar = Yvar, Xvar = Xvar, S = S, wHvar = wHvar,
Zvar = Zvar, nZHvar = nZHvar))
if (method %in% c("bfgs", "bhhh", "nr", "nm", "cg", "sann")) {
maxRoutine <- switch(method, bfgs = function(...) maxLik::maxBFGS(...),
bhhh = function(...) maxLik::maxBHHH(...), nr = function(...) maxLik::maxNR(...),
nm = function(...) maxLik::maxNM(...), cg = function(...) maxLik::maxCG(...),
sann = function(...) maxLik::maxSANN(...))
method <- "maxLikAlgo"
}
cat("LCM 5 Classes Estimation...\n")
mleObj <- switch(method, ucminf = ucminf::ucminf(par = startVal,
fn = function(parm) -sum(cLCMhalfnormlike5C(parm, nXvar = nXvar,
nuZUvar = nuZUvar, nvZVvar = nvZVvar, uHvar = uHvar,
vHvar = vHvar, Yvar = Yvar, Xvar = Xvar, S = S, wHvar = wHvar,
Zvar = Zvar, nZHvar = nZHvar)), gr = function(parm) -colSums(cgradLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
hessian = 0, control = list(trace = if (printInfo) 1 else 0,
maxeval = itermax, stepmax = stepmax, xtol = tol,
grtol = gradtol)), maxLikAlgo = maxRoutine(fn = cLCMhalfnormlike5C,
grad = cgradLCMhalfnormlike5C, hess = chessLCMhalfnormlike5C,
start = startVal, finalHessian = if (hessianType == 2) "bhhh" else TRUE,
control = list(printLevel = if (printInfo) 2 else 0,
iterlim = itermax, reltol = tol, tol = tol, qac = qac),
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar),
sr1 = trustOptim::trust.optim(x = startVal, fn = function(parm) -sum(cLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
gr = function(parm) -colSums(cgradLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
method = "SR1", control = list(maxit = itermax, cgtol = gradtol,
stop.trust.radius = tol, prec = tol, report.level = if (printInfo) 2 else 0,
report.precision = 1L)), sparse = trustOptim::trust.optim(x = startVal,
fn = function(parm) -sum(cLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
gr = function(parm) -colSums(cgradLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
hs = function(parm) as(-chessLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar),
"dgCMatrix"), method = "Sparse", control = list(maxit = itermax,
cgtol = gradtol, stop.trust.radius = tol, prec = tol,
report.level = if (printInfo) 2 else 0, report.precision = 1L,
preconditioner = 1L)), mla = marqLevAlg::mla(b = startVal,
fn = function(parm) -sum(cLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
gr = function(parm) -colSums(cgradLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
hess = function(parm) -chessLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar),
print.info = printInfo, maxiter = itermax, epsa = gradtol,
epsb = gradtol), nlminb = nlminb(start = startVal,
objective = function(parm) -sum(cLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
gradient = function(parm) -colSums(cgradLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
hessian = function(parm) -chessLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar),
control = list(iter.max = itermax, trace = if (printInfo) 1 else 0,
eval.max = itermax, rel.tol = tol, x.tol = tol)))
if (method %in% c("ucminf", "nlminb")) {
mleObj$gradient <- colSums(cgradLCMhalfnormlike5C(mleObj$par,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar))
}
mlParam <- if (method %in% c("ucminf", "nlminb")) {
mleObj$par
} else {
if (method == "maxLikAlgo") {
mleObj$estimate
} else {
if (method %in% c("sr1", "sparse")) {
mleObj$solution
} else {
if (method == "mla") {
mleObj$b
}
}
}
}
if (hessianType != 2) {
if (method %in% c("ucminf", "nlminb"))
mleObj$hessian <- chessLCMhalfnormlike5C(parm = mleObj$par,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)
if (method == "sr1")
mleObj$hessian <- chessLCMhalfnormlike5C(parm = mleObj$solution,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)
}
mleObj$logL_OBS <- cLCMhalfnormlike5C(parm = mlParam, nXvar = nXvar,
nuZUvar = nuZUvar, nvZVvar = nvZVvar, uHvar = uHvar,
vHvar = vHvar, Yvar = Yvar, Xvar = Xvar, S = S, wHvar = wHvar,
Zvar = Zvar, nZHvar = nZHvar)
mleObj$gradL_OBS <- cgradLCMhalfnormlike5C(parm = mlParam,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)
return(list(startVal = startVal, startLoglik = startLoglik,
mleObj = mleObj, mlParam = mlParam, if (is.null(start)) initHalf = initHalf))
}
# Posterior probabilities and efficiencies ----------
#' post. prob. and efficiencies for lcmcross 5 classes halfnormal-normal distribution
#' @param object object of class lcmcross
#' @param level level for confidence interval
#' @noRd
cLCM5Chalfnormeff <- function(object, level) {
beta1 <- object$mlParam[1:(object$nXvar)]
delta1 <- object$mlParam[(object$nXvar + 1):(object$nXvar +
object$nuZUvar)]
phi1 <- object$mlParam[(object$nXvar + object$nuZUvar + 1):(object$nXvar +
object$nuZUvar + object$nvZVvar)]
beta2 <- object$mlParam[(object$nXvar + object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + object$nuZUvar +
object$nvZVvar)]
delta2 <- object$mlParam[(2 * object$nXvar + object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + 2 * object$nuZUvar +
object$nvZVvar)]
phi2 <- object$mlParam[(2 * object$nXvar + 2 * object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar)]
beta3 <- object$mlParam[(2 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar)]
delta3 <- object$mlParam[(3 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 3 * object$nuZUvar +
2 * object$nvZVvar)]
phi3 <- object$mlParam[(3 * object$nXvar + 3 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar)]
beta4 <- object$mlParam[(3 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar)]
delta4 <- object$mlParam[(4 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 4 * object$nuZUvar +
3 * object$nvZVvar)]
phi4 <- object$mlParam[(4 * object$nXvar + 4 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar)]
beta5 <- object$mlParam[(4 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar)]
delta5 <- object$mlParam[(5 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
4 * object$nvZVvar)]
phi5 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar)]
theta1 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + object$nZHvar)]
theta2 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 2 * object$nZHvar)]
theta3 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 2 * object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 3 * object$nZHvar)]
theta4 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 3 * object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 4 * object$nZHvar)]
Xvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 1)
uHvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 2)
vHvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 3)
Zvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 4)
Wu1 <- as.numeric(crossprod(matrix(delta1), t(uHvar)))
Wu2 <- as.numeric(crossprod(matrix(delta2), t(uHvar)))
Wu3 <- as.numeric(crossprod(matrix(delta3), t(uHvar)))
Wu4 <- as.numeric(crossprod(matrix(delta4), t(uHvar)))
Wu5 <- as.numeric(crossprod(matrix(delta5), t(uHvar)))
Wv1 <- as.numeric(crossprod(matrix(phi1), t(vHvar)))
Wv2 <- as.numeric(crossprod(matrix(phi2), t(vHvar)))
Wv3 <- as.numeric(crossprod(matrix(phi3), t(vHvar)))
Wv4 <- as.numeric(crossprod(matrix(phi4), t(vHvar)))
Wv5 <- as.numeric(crossprod(matrix(phi5), t(vHvar)))
Wz1 <- as.numeric(crossprod(matrix(theta1), t(Zvar)))
Wz2 <- as.numeric(crossprod(matrix(theta2), t(Zvar)))
Wz3 <- as.numeric(crossprod(matrix(theta3), t(Zvar)))
Wz4 <- as.numeric(crossprod(matrix(theta4), t(Zvar)))
epsilon1 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta1), t(Xvar)))
epsilon2 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta2), t(Xvar)))
epsilon3 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta3), t(Xvar)))
epsilon4 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta4), t(Xvar)))
epsilon5 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta5), t(Xvar)))
mustar1 <- -exp(Wu1) * object$S * epsilon1/(exp(Wu1) + exp(Wv1))
sigmastar1 <- sqrt(exp(Wu1) * exp(Wv1)/(exp(Wu1) + exp(Wv1)))
mustar2 <- -exp(Wu2) * object$S * epsilon2/(exp(Wu2) + exp(Wv2))
sigmastar2 <- sqrt(exp(Wu2) * exp(Wv2)/(exp(Wu2) + exp(Wv2)))
mustar3 <- -exp(Wu3) * object$S * epsilon3/(exp(Wu3) + exp(Wv3))
sigmastar3 <- sqrt(exp(Wu3) * exp(Wv3)/(exp(Wu3) + exp(Wv3)))
mustar4 <- -exp(Wu4) * object$S * epsilon4/(exp(Wu4) + exp(Wv4))
sigmastar4 <- sqrt(exp(Wu4) * exp(Wv4)/(exp(Wu4) + exp(Wv4)))
mustar5 <- -exp(Wu5) * object$S * epsilon5/(exp(Wu5) + exp(Wv5))
sigmastar5 <- sqrt(exp(Wu5) * exp(Wv5)/(exp(Wu5) + exp(Wv5)))
Pi1 <- 2/sqrt(exp(Wu1) + exp(Wv1)) * dnorm(object$S * epsilon1/sqrt(exp(Wu1) +
exp(Wv1))) * pnorm(mustar1/sigmastar1)
Pi2 <- 2/sqrt(exp(Wu2) + exp(Wv2)) * dnorm(object$S * epsilon2/sqrt(exp(Wu2) +
exp(Wv2))) * pnorm(mustar2/sigmastar2)
Pi3 <- 2/sqrt(exp(Wu3) + exp(Wv3)) * dnorm(object$S * epsilon3/sqrt(exp(Wu3) +
exp(Wv3))) * pnorm(mustar3/sigmastar3)
Pi4 <- 2/sqrt(exp(Wu4) + exp(Wv4)) * dnorm(object$S * epsilon4/sqrt(exp(Wu4) +
exp(Wv4))) * pnorm(mustar4/sigmastar4)
Pi5 <- 2/sqrt(exp(Wu5) + exp(Wv5)) * dnorm(object$S * epsilon5/sqrt(exp(Wu5) +
exp(Wv5))) * pnorm(mustar5/sigmastar5)
Probc1 <- exp(Wz1)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc2 <- exp(Wz2)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc3 <- exp(Wz3)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc4 <- exp(Wz4)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc5 <- 1 - Probc1 - Probc2 - Probc3 - Probc4
Pcond_c1 <- Pi1 * Probc1/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c2 <- Pi2 * Probc2/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c3 <- Pi3 * Probc3/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c4 <- Pi4 * Probc4/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c5 <- Pi5 * Probc5/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Group_c <- apply(cbind(Pcond_c1, Pcond_c2, Pcond_c3, Pcond_c4,
Pcond_c5), 1, which.max)
P_cond_c <- ifelse(Group_c == 1, Pcond_c1, ifelse(Group_c ==
2, Pcond_c2, ifelse(Group_c == 3, Pcond_c3, ifelse(Group_c ==
4, Pcond_c4, Pcond_c5))))
u_c1 <- mustar1 + sigmastar1 * dnorm(mustar1/sigmastar1)/pnorm(mustar1/sigmastar1)
u_c2 <- mustar2 + sigmastar2 * dnorm(mustar2/sigmastar2)/pnorm(mustar2/sigmastar2)
u_c3 <- mustar3 + sigmastar3 * dnorm(mustar3/sigmastar3)/pnorm(mustar3/sigmastar3)
u_c4 <- mustar4 + sigmastar4 * dnorm(mustar4/sigmastar4)/pnorm(mustar4/sigmastar4)
u_c5 <- mustar5 + sigmastar5 * dnorm(mustar5/sigmastar5)/pnorm(mustar5/sigmastar5)
u_c <- ifelse(Group_c == 1, u_c1, ifelse(Group_c == 2, u_c2,
ifelse(Group_c == 3, u_c3, ifelse(Group_c == 4, u_c4,
u_c5))))
ineff_c1 <- ifelse(Group_c == 1, u_c1, NA)
ineff_c2 <- ifelse(Group_c == 2, u_c2, NA)
ineff_c3 <- ifelse(Group_c == 3, u_c3, NA)
ineff_c4 <- ifelse(Group_c == 4, u_c4, NA)
ineff_c5 <- ifelse(Group_c == 5, u_c5, NA)
if (object$logDepVar == TRUE) {
teJLMS_c <- exp(-u_c)
teBC_c1 <- exp(-mustar1 + 1/2 * sigmastar1^2) * pnorm(mustar1/sigmastar1 -
sigmastar1)/pnorm(mustar1/sigmastar1)
teBC_c2 <- exp(-mustar2 + 1/2 * sigmastar2^2) * pnorm(mustar2/sigmastar2 -
sigmastar2)/pnorm(mustar2/sigmastar2)
teBC_c3 <- exp(-mustar3 + 1/2 * sigmastar3^2) * pnorm(mustar3/sigmastar3 -
sigmastar3)/pnorm(mustar3/sigmastar3)
teBC_c4 <- exp(-mustar4 + 1/2 * sigmastar4^2) * pnorm(mustar4/sigmastar4 -
sigmastar4)/pnorm(mustar4/sigmastar4)
teBC_c5 <- exp(-mustar5 + 1/2 * sigmastar5^2) * pnorm(mustar5/sigmastar5 -
sigmastar5)/pnorm(mustar5/sigmastar5)
teBC_c <- ifelse(Group_c == 1, teBC_c1, ifelse(Group_c ==
2, teBC_c2, ifelse(Group_c == 3, teBC_c3, ifelse(Group_c ==
4, teBC_c4, teBC_c5))))
effBC_c1 <- ifelse(Group_c == 1, teBC_c1, NA)
effBC_c2 <- ifelse(Group_c == 2, teBC_c2, NA)
effBC_c3 <- ifelse(Group_c == 3, teBC_c3, NA)
effBC_c4 <- ifelse(Group_c == 4, teBC_c4, NA)
effBC_c5 <- ifelse(Group_c == 5, teBC_c5, NA)
teBC_reciprocal_c1 <- exp(mustar1 + 1/2 * sigmastar1^2) *
pnorm(mustar1/sigmastar1 + sigmastar1)/pnorm(mustar1/sigmastar1)
teBC_reciprocal_c2 <- exp(mustar2 + 1/2 * sigmastar2^2) *
pnorm(mustar2/sigmastar2 + sigmastar2)/pnorm(mustar2/sigmastar2)
teBC_reciprocal_c3 <- exp(mustar3 + 1/2 * sigmastar3^2) *
pnorm(mustar3/sigmastar3 + sigmastar3)/pnorm(mustar3/sigmastar3)
teBC_reciprocal_c4 <- exp(mustar4 + 1/2 * sigmastar4^2) *
pnorm(mustar4/sigmastar4 + sigmastar4)/pnorm(mustar4/sigmastar4)
teBC_reciprocal_c5 <- exp(mustar5 + 1/2 * sigmastar5^2) *
pnorm(mustar5/sigmastar5 + sigmastar5)/pnorm(mustar5/sigmastar5)
teBC_reciprocal_c <- ifelse(Group_c == 1, teBC_reciprocal_c1,
ifelse(Group_c == 2, teBC_reciprocal_c2, ifelse(Group_c ==
3, teBC_reciprocal_c3, ifelse(Group_c == 4, teBC_reciprocal_c4,
teBC_reciprocal_c5))))
ReffBC_c1 <- ifelse(Group_c == 1, teBC_reciprocal_c1,
NA)
ReffBC_c2 <- ifelse(Group_c == 2, teBC_reciprocal_c2,
NA)
ReffBC_c3 <- ifelse(Group_c == 3, teBC_reciprocal_c3,
NA)
ReffBC_c4 <- ifelse(Group_c == 4, teBC_reciprocal_c4,
NA)
ReffBC_c5 <- ifelse(Group_c == 5, teBC_reciprocal_c5,
NA)
res <- data.frame(Group_c = Group_c, PosteriorProb_c = P_cond_c,
u_c = u_c, teJLMS_c = teJLMS_c, teBC_c = teBC_c,
teBC_reciprocal_c = teBC_reciprocal_c, PosteriorProb_c1 = Pcond_c1,
PriorProb_c1 = Probc1, u_c1 = u_c1, teBC_c1 = teBC_c1,
teBC_reciprocal_c1 = teBC_reciprocal_c1, PosteriorProb_c2 = Pcond_c2,
PriorProb_c2 = Probc2, u_c2 = u_c2, teBC_c2 = teBC_c2,
teBC_reciprocal_c2 = teBC_reciprocal_c2, PosteriorProb_c3 = Pcond_c3,
PriorProb_c3 = Probc3, u_c3 = u_c3, teBC_c3 = teBC_c3,
teBC_reciprocal_c3 = teBC_reciprocal_c3, PosteriorProb_c4 = Pcond_c4,
PriorProb_c4 = Probc4, u_c4 = u_c4, teBC_c4 = teBC_c4,
teBC_reciprocal_c4 = teBC_reciprocal_c4, PosteriorProb_c5 = Pcond_c5,
PriorProb_c5 = Probc5, u_c5 = u_c5, teBC_c5 = teBC_c5,
teBC_reciprocal_c5 = teBC_reciprocal_c5, ineff_c1 = ineff_c1,
ineff_c2 = ineff_c2, ineff_c3 = ineff_c3, ineff_c4 = ineff_c4,
ineff_c5 = ineff_c5, effBC_c1 = effBC_c1, effBC_c2 = effBC_c2,
effBC_c3 = effBC_c3, effBC_c4 = effBC_c4, effBC_c5 = effBC_c5,
ReffBC_c1 = ReffBC_c1, ReffBC_c2 = ReffBC_c2, ReffBC_c3 = ReffBC_c3,
ReffBC_c4 = ReffBC_c4, ReffBC_c5 = ReffBC_c5)
} else {
res <- data.frame(Group_c = Group_c, PosteriorProb_c = P_cond_c,
u_c = u_c, PosteriorProb_c1 = Pcond_c1, PriorProb_c1 = Probc1,
u_c1 = u_c1, PosteriorProb_c2 = Pcond_c2, PriorProb_c2 = Probc2,
u_c2 = u_c2, PosteriorProb_c3 = Pcond_c3, PriorProb_c3 = Probc3,
u_c3 = u_c3, PosteriorProb_c4 = Pcond_c4, PriorProb_c4 = Probc4,
u_c4 = u_c4, PosteriorProb_c5 = Pcond_c5, PriorProb_c5 = Probc5,
u_c5 = u_c5, ineff_c1 = ineff_c1, ineff_c2 = ineff_c2,
ineff_c3 = ineff_c3, ineff_c4 = ineff_c4, ineff_c5 = ineff_c5)
}
return(res)
}
# Marginal effects on inefficiencies ----------
#' marginal effects for for lcmcross 5 classes halfnormal-normal distribution
#' @param object object of class lcmcross
#' @noRd
cmargLCM5Chalfnorm_Eu <- function(object) {
beta1 <- object$mlParam[1:(object$nXvar)]
delta1 <- object$mlParam[(object$nXvar + 1):(object$nXvar +
object$nuZUvar)]
phi1 <- object$mlParam[(object$nXvar + object$nuZUvar + 1):(object$nXvar +
object$nuZUvar + object$nvZVvar)]
beta2 <- object$mlParam[(object$nXvar + object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + object$nuZUvar +
object$nvZVvar)]
delta2 <- object$mlParam[(2 * object$nXvar + object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + 2 * object$nuZUvar +
object$nvZVvar)]
phi2 <- object$mlParam[(2 * object$nXvar + 2 * object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar)]
beta3 <- object$mlParam[(2 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar)]
delta3 <- object$mlParam[(3 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 3 * object$nuZUvar +
2 * object$nvZVvar)]
phi3 <- object$mlParam[(3 * object$nXvar + 3 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar)]
beta4 <- object$mlParam[(3 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar)]
delta4 <- object$mlParam[(4 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 4 * object$nuZUvar +
3 * object$nvZVvar)]
phi4 <- object$mlParam[(4 * object$nXvar + 4 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar)]
beta5 <- object$mlParam[(4 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar)]
delta5 <- object$mlParam[(5 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
4 * object$nvZVvar)]
phi5 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar)]
theta1 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + object$nZHvar)]
theta2 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 2 * object$nZHvar)]
theta3 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 2 * object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 3 * object$nZHvar)]
theta4 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 3 * object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 4 * object$nZHvar)]
Xvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 1)
uHvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 2)
vHvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 3)
Zvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 4)
Wu1 <- as.numeric(crossprod(matrix(delta1), t(uHvar)))
Wu2 <- as.numeric(crossprod(matrix(delta2), t(uHvar)))
Wu3 <- as.numeric(crossprod(matrix(delta3), t(uHvar)))
Wu4 <- as.numeric(crossprod(matrix(delta4), t(uHvar)))
Wu5 <- as.numeric(crossprod(matrix(delta5), t(uHvar)))
Wv1 <- as.numeric(crossprod(matrix(phi1), t(vHvar)))
Wv2 <- as.numeric(crossprod(matrix(phi2), t(vHvar)))
Wv3 <- as.numeric(crossprod(matrix(phi3), t(vHvar)))
Wv4 <- as.numeric(crossprod(matrix(phi4), t(vHvar)))
Wv5 <- as.numeric(crossprod(matrix(phi5), t(vHvar)))
Wz1 <- as.numeric(crossprod(matrix(theta1), t(Zvar)))
Wz2 <- as.numeric(crossprod(matrix(theta2), t(Zvar)))
Wz3 <- as.numeric(crossprod(matrix(theta3), t(Zvar)))
Wz4 <- as.numeric(crossprod(matrix(theta4), t(Zvar)))
epsilon1 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta1), t(Xvar)))
epsilon2 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta2), t(Xvar)))
epsilon3 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta3), t(Xvar)))
epsilon4 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta4), t(Xvar)))
epsilon5 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta5), t(Xvar)))
mustar1 <- -exp(Wu1) * object$S * epsilon1/(exp(Wu1) + exp(Wv1))
sigmastar1 <- sqrt(exp(Wu1) * exp(Wv1)/(exp(Wu1) + exp(Wv1)))
mustar2 <- -exp(Wu2) * object$S * epsilon2/(exp(Wu2) + exp(Wv2))
sigmastar2 <- sqrt(exp(Wu2) * exp(Wv2)/(exp(Wu2) + exp(Wv2)))
mustar3 <- -exp(Wu3) * object$S * epsilon3/(exp(Wu3) + exp(Wv3))
sigmastar3 <- sqrt(exp(Wu3) * exp(Wv3)/(exp(Wu3) + exp(Wv3)))
mustar4 <- -exp(Wu4) * object$S * epsilon4/(exp(Wu4) + exp(Wv4))
sigmastar4 <- sqrt(exp(Wu4) * exp(Wv4)/(exp(Wu4) + exp(Wv4)))
mustar5 <- -exp(Wu5) * object$S * epsilon5/(exp(Wu5) + exp(Wv5))
sigmastar5 <- sqrt(exp(Wu5) * exp(Wv5)/(exp(Wu5) + exp(Wv5)))
Pi1 <- 2/sqrt(exp(Wu1) + exp(Wv1)) * dnorm(object$S * epsilon1/sqrt(exp(Wu1) +
exp(Wv1))) * pnorm(mustar1/sigmastar1)
Pi2 <- 2/sqrt(exp(Wu2) + exp(Wv2)) * dnorm(object$S * epsilon2/sqrt(exp(Wu2) +
exp(Wv2))) * pnorm(mustar2/sigmastar2)
Pi3 <- 2/sqrt(exp(Wu3) + exp(Wv3)) * dnorm(object$S * epsilon3/sqrt(exp(Wu3) +
exp(Wv3))) * pnorm(mustar3/sigmastar3)
Pi4 <- 2/sqrt(exp(Wu4) + exp(Wv4)) * dnorm(object$S * epsilon4/sqrt(exp(Wu4) +
exp(Wv4))) * pnorm(mustar4/sigmastar4)
Pi5 <- 2/sqrt(exp(Wu5) + exp(Wv5)) * dnorm(object$S * epsilon5/sqrt(exp(Wu5) +
exp(Wv5))) * pnorm(mustar5/sigmastar5)
Probc1 <- exp(Wz1)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc2 <- exp(Wz2)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc3 <- exp(Wz3)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc4 <- exp(Wz4)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc5 <- 1 - Probc1 - Probc2 - Probc3 - Probc4
Pcond_c1 <- Pi1 * Probc1/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c2 <- Pi2 * Probc2/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c3 <- Pi3 * Probc3/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c4 <- Pi4 * Probc4/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c5 <- Pi5 * Probc5/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Group_c <- apply(cbind(Pcond_c1, Pcond_c2, Pcond_c3, Pcond_c4,
Pcond_c5), 1, which.max)
margEff_c1 <- kronecker(matrix(delta1[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu1/2) * dnorm(0), ncol = 1))
colnames(margEff_c1) <- paste0("Eu_", colnames(uHvar)[-1],
"_c1")
margEff_c2 <- kronecker(matrix(delta2[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu2/2) * dnorm(0), ncol = 1))
colnames(margEff_c2) <- paste0("Eu_", colnames(uHvar)[-1],
"_c2")
margEff_c3 <- kronecker(matrix(delta3[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu3/2) * dnorm(0), ncol = 1))
colnames(margEff_c3) <- paste0("Eu_", colnames(uHvar)[-1],
"_c3")
margEff_c4 <- kronecker(matrix(delta4[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu4/2) * dnorm(0), ncol = 1))
colnames(margEff_c4) <- paste0("Eu_", colnames(uHvar)[-1],
"_c4")
margEff_c5 <- kronecker(matrix(delta5[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu5/2) * dnorm(0), ncol = 1))
colnames(margEff_c5) <- paste0("Eu_", colnames(uHvar)[-1],
"_c5")
margEff_c <- matrix(nrow = nrow(margEff_c1), ncol = ncol(margEff_c1))
for (c in seq_len(ncol(margEff_c1))) {
margEff_c[, c] <- ifelse(Group_c == 1, margEff_c1[, c],
ifelse(Group_c == 2, margEff_c2[, c], ifelse(Group_c ==
3, margEff_c3[, c], ifelse(Group_c == 4, margEff_c4[,
c], margEff_c5[, c]))))
}
colnames(margEff_c) <- paste0("Eu_", colnames(uHvar)[-1],
"_c")
margEff <- data.frame(margEff_c, margEff_c1, margEff_c2,
margEff_c3, margEff_c4, margEff_c5)
return(margEff)
}
cmargLCM5Chalfnorm_Vu <- function(object) {
beta1 <- object$mlParam[1:(object$nXvar)]
delta1 <- object$mlParam[(object$nXvar + 1):(object$nXvar +
object$nuZUvar)]
phi1 <- object$mlParam[(object$nXvar + object$nuZUvar + 1):(object$nXvar +
object$nuZUvar + object$nvZVvar)]
beta2 <- object$mlParam[(object$nXvar + object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + object$nuZUvar +
object$nvZVvar)]
delta2 <- object$mlParam[(2 * object$nXvar + object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + 2 * object$nuZUvar +
object$nvZVvar)]
phi2 <- object$mlParam[(2 * object$nXvar + 2 * object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar)]
beta3 <- object$mlParam[(2 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar)]
delta3 <- object$mlParam[(3 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 3 * object$nuZUvar +
2 * object$nvZVvar)]
phi3 <- object$mlParam[(3 * object$nXvar + 3 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar)]
beta4 <- object$mlParam[(3 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar)]
delta4 <- object$mlParam[(4 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 4 * object$nuZUvar +
3 * object$nvZVvar)]
phi4 <- object$mlParam[(4 * object$nXvar + 4 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar)]
beta5 <- object$mlParam[(4 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar)]
delta5 <- object$mlParam[(5 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
4 * object$nvZVvar)]
phi5 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar)]
theta1 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + object$nZHvar)]
theta2 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 2 * object$nZHvar)]
theta3 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 2 * object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 3 * object$nZHvar)]
theta4 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 3 * object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 4 * object$nZHvar)]
Xvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 1)
uHvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 2)
vHvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 3)
Zvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 4)
Wu1 <- as.numeric(crossprod(matrix(delta1), t(uHvar)))
Wu2 <- as.numeric(crossprod(matrix(delta2), t(uHvar)))
Wu3 <- as.numeric(crossprod(matrix(delta3), t(uHvar)))
Wu4 <- as.numeric(crossprod(matrix(delta4), t(uHvar)))
Wu5 <- as.numeric(crossprod(matrix(delta5), t(uHvar)))
Wv1 <- as.numeric(crossprod(matrix(phi1), t(vHvar)))
Wv2 <- as.numeric(crossprod(matrix(phi2), t(vHvar)))
Wv3 <- as.numeric(crossprod(matrix(phi3), t(vHvar)))
Wv4 <- as.numeric(crossprod(matrix(phi4), t(vHvar)))
Wv5 <- as.numeric(crossprod(matrix(phi5), t(vHvar)))
Wz1 <- as.numeric(crossprod(matrix(theta1), t(Zvar)))
Wz2 <- as.numeric(crossprod(matrix(theta2), t(Zvar)))
Wz3 <- as.numeric(crossprod(matrix(theta3), t(Zvar)))
Wz4 <- as.numeric(crossprod(matrix(theta4), t(Zvar)))
epsilon1 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta1), t(Xvar)))
epsilon2 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta2), t(Xvar)))
epsilon3 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta3), t(Xvar)))
epsilon4 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta4), t(Xvar)))
epsilon5 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta5), t(Xvar)))
mustar1 <- -exp(Wu1) * object$S * epsilon1/(exp(Wu1) + exp(Wv1))
sigmastar1 <- sqrt(exp(Wu1) * exp(Wv1)/(exp(Wu1) + exp(Wv1)))
mustar2 <- -exp(Wu2) * object$S * epsilon2/(exp(Wu2) + exp(Wv2))
sigmastar2 <- sqrt(exp(Wu2) * exp(Wv2)/(exp(Wu2) + exp(Wv2)))
mustar3 <- -exp(Wu3) * object$S * epsilon3/(exp(Wu3) + exp(Wv3))
sigmastar3 <- sqrt(exp(Wu3) * exp(Wv3)/(exp(Wu3) + exp(Wv3)))
mustar4 <- -exp(Wu4) * object$S * epsilon4/(exp(Wu4) + exp(Wv4))
sigmastar4 <- sqrt(exp(Wu4) * exp(Wv4)/(exp(Wu4) + exp(Wv4)))
mustar5 <- -exp(Wu5) * object$S * epsilon5/(exp(Wu5) + exp(Wv5))
sigmastar5 <- sqrt(exp(Wu5) * exp(Wv5)/(exp(Wu5) + exp(Wv5)))
Pi1 <- 2/sqrt(exp(Wu1) + exp(Wv1)) * dnorm(object$S * epsilon1/sqrt(exp(Wu1) +
exp(Wv1))) * pnorm(mustar1/sigmastar1)
Pi2 <- 2/sqrt(exp(Wu2) + exp(Wv2)) * dnorm(object$S * epsilon2/sqrt(exp(Wu2) +
exp(Wv2))) * pnorm(mustar2/sigmastar2)
Pi3 <- 2/sqrt(exp(Wu3) + exp(Wv3)) * dnorm(object$S * epsilon3/sqrt(exp(Wu3) +
exp(Wv3))) * pnorm(mustar3/sigmastar3)
Pi4 <- 2/sqrt(exp(Wu4) + exp(Wv4)) * dnorm(object$S * epsilon4/sqrt(exp(Wu4) +
exp(Wv4))) * pnorm(mustar4/sigmastar4)
Pi5 <- 2/sqrt(exp(Wu5) + exp(Wv5)) * dnorm(object$S * epsilon5/sqrt(exp(Wu5) +
exp(Wv5))) * pnorm(mustar5/sigmastar5)
Probc1 <- exp(Wz1)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc2 <- exp(Wz2)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc3 <- exp(Wz3)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc4 <- exp(Wz4)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc5 <- 1 - Probc1 - Probc2 - Probc3 - Probc4
Pcond_c1 <- Pi1 * Probc1/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c2 <- Pi2 * Probc2/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c3 <- Pi3 * Probc3/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c4 <- Pi4 * Probc4/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c5 <- Pi5 * Probc5/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Group_c <- apply(cbind(Pcond_c1, Pcond_c2, Pcond_c3, Pcond_c4,
Pcond_c5), 1, which.max)
margEff_c1 <- kronecker(matrix(delta1[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu1) * (1 - (dnorm(0)/pnorm(0))^2),
ncol = 1))
colnames(margEff_c1) <- paste0("Vu_", colnames(uHvar)[-1],
"_c1")
margEff_c2 <- kronecker(matrix(delta2[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu2) * (1 - (dnorm(0)/pnorm(0))^2),
ncol = 1))
colnames(margEff_c2) <- paste0("Vu_", colnames(uHvar)[-1],
"_c2")
margEff_c3 <- kronecker(matrix(delta3[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu3) * (1 - (dnorm(0)/pnorm(0))^2),
ncol = 1))
colnames(margEff_c3) <- paste0("Vu_", colnames(uHvar)[-1],
"_c3")
margEff_c4 <- kronecker(matrix(delta4[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu4) * (1 - (dnorm(0)/pnorm(0))^2),
ncol = 1))
colnames(margEff_c4) <- paste0("Vu_", colnames(uHvar)[-1],
"_c4")
margEff_c5 <- kronecker(matrix(delta5[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu5) * (1 - (dnorm(0)/pnorm(0))^2),
ncol = 1))
colnames(margEff_c5) <- paste0("Vu_", colnames(uHvar)[-1],
"_c5")
margEff_c <- matrix(nrow = nrow(margEff_c1), ncol = ncol(margEff_c1))
for (c in seq_len(ncol(margEff_c1))) {
margEff_c[, c] <- ifelse(Group_c == 1, margEff_c1[, c],
ifelse(Group_c == 2, margEff_c2[, c], ifelse(Group_c ==
3, margEff_c3[, c], ifelse(Group_c == 4, margEff_c4[,
c], margEff_c5[, c]))))
}
colnames(margEff_c) <- paste0("Vu_", colnames(uHvar)[-1],
"_c")
margEff <- data.frame(margEff_c, margEff_c1, margEff_c2,
margEff_c3, margEff_c4, margEff_c5)
return(margEff)
}
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Defines functions cmargLCM5Chalfnorm_Vu cmargLCM5Chalfnorm_Eu cLCM5Chalfnormeff LCM5ChnormAlgOpt chessLCMhalfnormlike5C cgradLCMhalfnormlike5C csLCMfhalfnorm5C cLCMhalfnormlike5C
################################################################################
# #
# R internal functions for the sfaR package #
# #
################################################################################
#------------------------------------------------------------------------------#
# Data: Cross sectional data & Pooled data #
# Model: Latent Class Stochastic Frontier Analysis #
# Number of Classes: 5L #
# Convolution: halfnormal - normal #
#------------------------------------------------------------------------------#
# Log-likelihood ----------
#' log-likelihood for lcm 5 classes halfnormal-normal distribution
#' @param parm all parameters to be estimated
#' @param nXvar number of main variables (inputs + env. var)
#' @param nuZUvar number of Zu variables
#' @param nvZVvar number of Zv variables
#' @param uHvar matrix of Zu variables
#' @param vHvar matrix of Zv variables
#' @param Yvar vector of dependent variable
#' @param Xvar matrix of main variables
#' @param S integer for cost/prod estimation
#' @param wHvar vector of weights (weighted likelihood)
#' @param Zvar matrix of separating variables
#' @param nZHvar number of separating variables
#' @noRd
cLCMhalfnormlike5C <- function(parm, nXvar, nuZUvar, nvZVvar,
uHvar, vHvar, Yvar, Xvar, S, wHvar, Zvar, nZHvar) {
beta1 <- parm[1:(nXvar)]
delta1 <- parm[(nXvar + 1):(nXvar + nuZUvar)]
phi1 <- parm[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar)]
beta2 <- parm[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
nuZUvar + nvZVvar)]
delta2 <- parm[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + nvZVvar)]
phi2 <- parm[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)]
beta3 <- parm[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)]
delta3 <- parm[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 2 * nvZVvar)]
phi3 <- parm[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)]
beta4 <- parm[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)]
delta4 <- parm[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 3 * nvZVvar)]
phi4 <- parm[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)]
beta5 <- parm[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)]
delta5 <- parm[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 4 * nvZVvar)]
phi5 <- parm[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar)]
theta1 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar)]
theta2 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar)]
theta3 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar)]
theta4 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar)]
Wu1 <- as.numeric(crossprod(matrix(delta1), t(uHvar)))
Wu2 <- as.numeric(crossprod(matrix(delta2), t(uHvar)))
Wu3 <- as.numeric(crossprod(matrix(delta3), t(uHvar)))
Wu4 <- as.numeric(crossprod(matrix(delta4), t(uHvar)))
Wu5 <- as.numeric(crossprod(matrix(delta5), t(uHvar)))
Wv1 <- as.numeric(crossprod(matrix(phi1), t(vHvar)))
Wv2 <- as.numeric(crossprod(matrix(phi2), t(vHvar)))
Wv3 <- as.numeric(crossprod(matrix(phi3), t(vHvar)))
Wv4 <- as.numeric(crossprod(matrix(phi4), t(vHvar)))
Wv5 <- as.numeric(crossprod(matrix(phi5), t(vHvar)))
Wz1 <- as.numeric(crossprod(matrix(theta1), t(Zvar)))
Wz2 <- as.numeric(crossprod(matrix(theta2), t(Zvar)))
Wz3 <- as.numeric(crossprod(matrix(theta3), t(Zvar)))
Wz4 <- as.numeric(crossprod(matrix(theta4), t(Zvar)))
epsilon1 <- Yvar - as.numeric(crossprod(matrix(beta1), t(Xvar)))
epsilon2 <- Yvar - as.numeric(crossprod(matrix(beta2), t(Xvar)))
epsilon3 <- Yvar - as.numeric(crossprod(matrix(beta3), t(Xvar)))
epsilon4 <- Yvar - as.numeric(crossprod(matrix(beta4), t(Xvar)))
epsilon5 <- Yvar - as.numeric(crossprod(matrix(beta5), t(Xvar)))
mustar1 <- -exp(Wu1) * S * epsilon1/(exp(Wu1) + exp(Wv1))
sigmastar1 <- sqrt(exp(Wu1) * exp(Wv1)/(exp(Wu1) + exp(Wv1)))
mustar2 <- -exp(Wu2) * S * epsilon2/(exp(Wu2) + exp(Wv2))
sigmastar2 <- sqrt(exp(Wu2) * exp(Wv2)/(exp(Wu2) + exp(Wv2)))
mustar3 <- -exp(Wu3) * S * epsilon3/(exp(Wu3) + exp(Wv3))
sigmastar3 <- sqrt(exp(Wu3) * exp(Wv3)/(exp(Wu3) + exp(Wv3)))
mustar4 <- -exp(Wu4) * S * epsilon4/(exp(Wu4) + exp(Wv4))
sigmastar4 <- sqrt(exp(Wu4) * exp(Wv4)/(exp(Wu4) + exp(Wv4)))
mustar5 <- -exp(Wu5) * S * epsilon5/(exp(Wu5) + exp(Wv5))
sigmastar5 <- sqrt(exp(Wu5) * exp(Wv5)/(exp(Wu5) + exp(Wv5)))
Pi1 <- 2/sqrt(exp(Wu1) + exp(Wv1)) * dnorm(S * epsilon1/sqrt(exp(Wu1) +
exp(Wv1))) * pnorm(mustar1/sigmastar1)
Pi2 <- 2/sqrt(exp(Wu2) + exp(Wv2)) * dnorm(S * epsilon2/sqrt(exp(Wu2) +
exp(Wv2))) * pnorm(mustar2/sigmastar2)
Pi3 <- 2/sqrt(exp(Wu3) + exp(Wv3)) * dnorm(S * epsilon3/sqrt(exp(Wu3) +
exp(Wv3))) * pnorm(mustar3/sigmastar3)
Pi4 <- 2/sqrt(exp(Wu4) + exp(Wv4)) * dnorm(S * epsilon4/sqrt(exp(Wu4) +
exp(Wv4))) * pnorm(mustar4/sigmastar4)
Pi5 <- 2/sqrt(exp(Wu5) + exp(Wv5)) * dnorm(S * epsilon5/sqrt(exp(Wu5) +
exp(Wv5))) * pnorm(mustar5/sigmastar5)
Probc1 <- exp(Wz1)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc2 <- exp(Wz2)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc3 <- exp(Wz3)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc4 <- exp(Wz4)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc5 <- 1 - Probc1 - Probc2 - Probc3 - Probc4
L <- Probc1 * Pi1 + Probc2 * Pi2 + Probc3 * Pi3 + Probc4 *
Pi4 + Probc5 * Pi5
ifelse(L <= 0, return(NA), return(wHvar * log(L)))
}
# starting value for the log-likelihood ----------
#' starting values for lcm 5 classes halfnormal-normal distribution
#' @param olsObj OLS object
#' @param epsiRes residuals from OLS
#' @param S integer for cost/prod estimation
#' @param nuZUvar number of Zu variables
#' @param nvZVvar number of Zv variables
#' @param uHvar matrix of Zu variables
#' @param vHvar matrix of Zv variables
#' @param Yvar vector of dependent variable
#' @param Xvar matrix of main variables
#' @param nXvar number of main variables (inputs + env. var)
#' @param wHvar vector of weights (weighted likelihood)
#' @param Zvar matrix of separating variables
#' @param nZHvar number of separating variables
#' @param printInfo logical print info during optimization
#' @param whichStart strategy to get starting values
#' @param initIter maximum iterations for initialization
#' @param initAlg algorithm for maxLik
#' @param tol parameter tolerance
#' @noRd
csLCMfhalfnorm5C <- function(olsObj, epsiRes, nXvar, nuZUvar,
nvZVvar, uHvar, vHvar, Yvar, Xvar, S, wHvar, Zvar, nZHvar,
whichStart, initIter, initAlg, printInfo, tol) {
if (whichStart == 1L) {
Esti <- csthalfnorm(olsObj = olsObj, epsiRes = epsiRes,
S = S, nuZUvar = 1, uHvar = uHvar[, 1, drop = FALSE],
nvZVvar = 1, vHvar = vHvar[, 1, drop = FALSE])
initHalf <- NULL
} else {
cat("Initialization: SFA + halfnormal - normal distributions...\n")
initHalf <- maxLik::maxLik(logLik = chalfnormlike, start = csthalfnorm(olsObj = olsObj,
epsiRes = epsiRes, S = S, nuZUvar = 1, uHvar = uHvar[,
1, drop = FALSE], nvZVvar = 1, vHvar = vHvar[,
1, drop = FALSE]), grad = cgradhalfnormlike,
method = initAlg, control = list(iterlim = initIter,
printLevel = printInfo, reltol = tol), nXvar = nXvar,
nuZUvar = 1, nvZVvar = 1, uHvar = uHvar[, 1, drop = FALSE],
vHvar = vHvar[, 1, drop = FALSE], Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar)
Esti <- initHalf$estimate
}
StartVal <- c(Esti[1:(nXvar + 1)], if (nuZUvar > 1) rep(0,
nuZUvar - 1), Esti[nXvar + 2], if (nvZVvar > 1) rep(0,
nvZVvar - 1), 0.98 * Esti[1:nXvar], Esti[nXvar + 1],
if (nuZUvar > 1) rep(0, nuZUvar - 1), Esti[nXvar + 2],
if (nvZVvar > 1) rep(0, nvZVvar - 1), 0.98 * Esti[1:nXvar],
Esti[nXvar + 1], if (nuZUvar > 1) rep(0, nuZUvar - 1),
Esti[nXvar + 2], if (nvZVvar > 1) rep(0, nvZVvar - 1),
0.98 * Esti[1:nXvar], Esti[nXvar + 1], if (nuZUvar >
1) rep(0, nuZUvar - 1), Esti[nXvar + 2], if (nvZVvar >
1) rep(0, nvZVvar - 1), 0.98 * Esti[1:nXvar], Esti[nXvar +
1], if (nuZUvar > 1) rep(0, nuZUvar - 1), Esti[nXvar +
2], if (nvZVvar > 1) rep(0, nvZVvar - 1), rep(0,
4 * nZHvar))
names(StartVal) <- c(names(Esti)[1:nXvar], paste0("Zu_",
colnames(uHvar)), paste0("Zv_", colnames(vHvar)), names(Esti)[1:nXvar],
paste0("Zu_", colnames(uHvar)), paste0("Zv_", colnames(vHvar)),
names(Esti)[1:nXvar], paste0("Zu_", colnames(uHvar)),
paste0("Zv_", colnames(vHvar)), names(Esti)[1:nXvar],
paste0("Zu_", colnames(uHvar)), paste0("Zv_", colnames(vHvar)),
names(Esti)[1:nXvar], paste0("Zu_", colnames(uHvar)),
paste0("Zv_", colnames(vHvar)), paste0("Cl1_", colnames(Zvar)),
paste0("Cl2_", colnames(Zvar)), paste0("Cl3_", colnames(Zvar)),
paste0("Cl4_", colnames(Zvar)))
return(list(StartVal = StartVal, initHalf = initHalf))
}
# Gradient of the likelihood function ----------
#' gradient for lcm 5 classes halfnormal-normal distribution
#' @param parm all parameters to be estimated
#' @param nXvar number of main variables (inputs + env. var)
#' @param nuZUvar number of Zu variables
#' @param nvZVvar number of Zv variables
#' @param uHvar matrix of Zu variables
#' @param vHvar matrix of Zv variables
#' @param Yvar vector of dependent variable
#' @param Xvar matrix of main variables
#' @param S integer for cost/prod estimation
#' @param wHvar vector of weights (weighted likelihood)
#' @param Zvar matrix of separating variables
#' @param nZHvar number of separating variables
#' @noRd
cgradLCMhalfnormlike5C <- function(parm, nXvar, nuZUvar, nvZVvar,
uHvar, vHvar, Yvar, Xvar, S, wHvar, Zvar, nZHvar) {
beta1 <- parm[1:(nXvar)]
delta1 <- parm[(nXvar + 1):(nXvar + nuZUvar)]
phi1 <- parm[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar)]
beta2 <- parm[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
nuZUvar + nvZVvar)]
delta2 <- parm[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + nvZVvar)]
phi2 <- parm[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)]
beta3 <- parm[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)]
delta3 <- parm[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 2 * nvZVvar)]
phi3 <- parm[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)]
beta4 <- parm[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)]
delta4 <- parm[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 3 * nvZVvar)]
phi4 <- parm[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)]
beta5 <- parm[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)]
delta5 <- parm[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 4 * nvZVvar)]
phi5 <- parm[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar)]
theta1 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar)]
theta2 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar)]
theta3 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar)]
theta4 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar)]
Wu1 <- as.numeric(crossprod(matrix(delta1), t(uHvar)))
Wu2 <- as.numeric(crossprod(matrix(delta2), t(uHvar)))
Wu3 <- as.numeric(crossprod(matrix(delta3), t(uHvar)))
Wu4 <- as.numeric(crossprod(matrix(delta4), t(uHvar)))
Wu5 <- as.numeric(crossprod(matrix(delta5), t(uHvar)))
Wv1 <- as.numeric(crossprod(matrix(phi1), t(vHvar)))
Wv2 <- as.numeric(crossprod(matrix(phi2), t(vHvar)))
Wv3 <- as.numeric(crossprod(matrix(phi3), t(vHvar)))
Wv4 <- as.numeric(crossprod(matrix(phi4), t(vHvar)))
Wv5 <- as.numeric(crossprod(matrix(phi5), t(vHvar)))
Wz1 <- as.numeric(crossprod(matrix(theta1), t(Zvar)))
Wz2 <- as.numeric(crossprod(matrix(theta2), t(Zvar)))
Wz3 <- as.numeric(crossprod(matrix(theta3), t(Zvar)))
Wz4 <- as.numeric(crossprod(matrix(theta4), t(Zvar)))
epsilon1 <- Yvar - as.numeric(crossprod(matrix(beta1), t(Xvar)))
epsilon2 <- Yvar - as.numeric(crossprod(matrix(beta2), t(Xvar)))
epsilon3 <- Yvar - as.numeric(crossprod(matrix(beta3), t(Xvar)))
epsilon4 <- Yvar - as.numeric(crossprod(matrix(beta4), t(Xvar)))
epsilon5 <- Yvar - as.numeric(crossprod(matrix(beta5), t(Xvar)))
ewu1 <- exp(Wu1)
ewv1 <- exp(Wv1)
ewu2 <- exp(Wu2)
ewv2 <- exp(Wv2)
ewu3 <- exp(Wu3)
ewv3 <- exp(Wv3)
ewu4 <- exp(Wu4)
ewv4 <- exp(Wv4)
ewu5 <- exp(Wu5)
ewv5 <- exp(Wv5)
ewz1 <- exp(Wz1)
ewz2 <- exp(Wz2)
ewz3 <- exp(Wz3)
ewz4 <- exp(Wz4)
sigma_sq1 <- ewu1 + ewv1
sigma_sq2 <- ewu2 + ewv2
sigma_sq3 <- ewu3 + ewv3
sigma_sq4 <- ewu4 + ewv4
sigma_sq5 <- ewu5 + ewv5
sigmastar1 <- sqrt(ewu1 * ewv1/(sigma_sq1))
sigmastar2 <- sqrt(ewu2 * ewv2/(sigma_sq2))
sigmastar3 <- sqrt(ewu3 * ewv3/(sigma_sq3))
sigmastar4 <- sqrt(ewu4 * ewv4/(sigma_sq4))
sigmastar5 <- sqrt(ewu5 * ewv5/(sigma_sq5))
dmusig1 <- dnorm(-(S * ewu1 * (epsilon1)/((sigma_sq1) * sigmastar1)))
dmusig2 <- dnorm(-(S * ewu2 * (epsilon2)/((sigma_sq2) * sigmastar2)))
dmusig3 <- dnorm(-(S * ewu3 * (epsilon3)/((sigma_sq3) * sigmastar3)))
dmusig4 <- dnorm(-(S * ewu4 * (epsilon4)/((sigma_sq4) * sigmastar4)))
dmusig5 <- dnorm(-(S * ewu5 * (epsilon5)/((sigma_sq5) * sigmastar5)))
pmusig1 <- pnorm(-(S * ewu1 * (epsilon1)/((sigma_sq1) * sigmastar1)))
pmusig2 <- pnorm(-(S * ewu2 * (epsilon2)/((sigma_sq2) * sigmastar2)))
pmusig3 <- pnorm(-(S * ewu3 * (epsilon3)/((sigma_sq3) * sigmastar3)))
pmusig4 <- pnorm(-(S * ewu4 * (epsilon4)/((sigma_sq4) * sigmastar4)))
pmusig5 <- pnorm(-(S * ewu5 * (epsilon5)/((sigma_sq5) * sigmastar5)))
depsisq1 <- dnorm(S * (epsilon1)/sqrt(sigma_sq1))
depsisq2 <- dnorm(S * (epsilon2)/sqrt(sigma_sq2))
depsisq3 <- dnorm(S * (epsilon3)/sqrt(sigma_sq3))
depsisq4 <- dnorm(S * (epsilon4)/sqrt(sigma_sq4))
depsisq5 <- dnorm(S * (epsilon5)/sqrt(sigma_sq5))
sigx1_1 <- (dmusig1 * depsisq1 * ewu1/sigmastar1 + S * depsisq1 *
pmusig1 * (epsilon1))
sigx1_2 <- (dmusig2 * depsisq2 * ewu2/sigmastar2 + S * depsisq2 *
pmusig2 * (epsilon2))
sigx1_3 <- (dmusig3 * depsisq3 * ewu3/sigmastar3 + S * depsisq3 *
pmusig3 * (epsilon3))
sigx1_4 <- (dmusig4 * depsisq4 * ewu4/sigmastar4 + S * depsisq4 *
pmusig4 * (epsilon4))
sigx1_5 <- (dmusig5 * depsisq5 * ewu5/sigmastar5 + S * depsisq5 *
pmusig5 * (epsilon5))
sqsq1 <- ((sigma_sq1) * sigmastar1)
sqsq2 <- ((sigma_sq2) * sigmastar2)
sqsq3 <- ((sigma_sq3) * sigmastar3)
sqsq4 <- ((sigma_sq4) * sigmastar4)
sqsq5 <- ((sigma_sq5) * sigmastar5)
sigx2_1 <- (0.5 * ((1 - ewu1/(sigma_sq1)) * ewv1/sigmastar1) +
sigmastar1)
sigx2_2 <- (0.5 * ((1 - ewu2/(sigma_sq2)) * ewv2/sigmastar2) +
sigmastar2)
sigx2_3 <- (0.5 * ((1 - ewu3/(sigma_sq3)) * ewv3/sigmastar3) +
sigmastar3)
sigx2_4 <- (0.5 * ((1 - ewu4/(sigma_sq4)) * ewv4/sigmastar4) +
sigmastar4)
sigx2_5 <- (0.5 * ((1 - ewu5/(sigma_sq5)) * ewv5/sigmastar5) +
sigmastar5)
sigx3_1 <- (0.5 * ((1 - ewv1/(sigma_sq1)) * ewu1/sigmastar1) +
sigmastar1)
sigx3_2 <- (0.5 * ((1 - ewv2/(sigma_sq2)) * ewu2/sigmastar2) +
sigmastar2)
sigx3_3 <- (0.5 * ((1 - ewv3/(sigma_sq3)) * ewu3/sigmastar3) +
sigmastar3)
sigx3_4 <- (0.5 * ((1 - ewv4/(sigma_sq4)) * ewu4/sigmastar4) +
sigmastar4)
sigx3_5 <- (0.5 * ((1 - ewv5/(sigma_sq5)) * ewu5/sigmastar5) +
sigmastar5)
wzdeno <- (1 + ewz1 + ewz2 + ewz3 + ewz4)
prC <- (1 - (ewz1 + ewz2 + ewz3 + ewz4)/wzdeno)
wzdsq1 <- wzdeno * sqrt(sigma_sq1)
wzdsq2 <- wzdeno * sqrt(sigma_sq2)
wzdsq3 <- wzdeno * sqrt(sigma_sq3)
wzdsq4 <- wzdeno * sqrt(sigma_sq4)
wzlogit1 <- (depsisq1 * ewz1 * pmusig1/sqrt(sigma_sq1))
wzlogit2 <- (depsisq2 * ewz2 * pmusig2/sqrt(sigma_sq2))
wzlogit3 <- (depsisq3 * ewz3 * pmusig3/sqrt(sigma_sq3))
wzlogit4 <- (depsisq4 * ewz4 * pmusig4/sqrt(sigma_sq4))
wzlogit5 <- (prC * depsisq5 * pmusig5/sqrt(sigma_sq5))
sigx4 <- ((2 * wzlogit1 + 2 * wzlogit2 + 2 * wzlogit3 + 2 *
wzlogit4)/wzdeno + 2 * wzlogit5)
sigsq_1 <- (sigx4 * wzdeno * (sigma_sq1) * sqrt(sigma_sq1))
sigsq_2 <- (sigx4 * wzdeno * (sigma_sq2) * sqrt(sigma_sq2))
sigsq_3 <- (sigx4 * wzdeno * (sigma_sq3) * sqrt(sigma_sq3))
sigsq_4 <- (sigx4 * wzdeno * (sigma_sq4) * sqrt(sigma_sq4))
sigsq_5 <- (sigx4 * (sigma_sq5) * sqrt(sigma_sq5))
dpepsisq1 <- 0.5 * (S * depsisq1 * pmusig1 * (epsilon1)/(sigma_sq1)^2)
dpepsisq2 <- 0.5 * (S * depsisq2 * pmusig2 * (epsilon2)/(sigma_sq2)^2)
dpepsisq3 <- 0.5 * (S * depsisq3 * pmusig3 * (epsilon3)/(sigma_sq3)^2)
dpepsisq4 <- 0.5 * (S * depsisq4 * pmusig4 * (epsilon4)/(sigma_sq4)^2)
dpepsisq5 <- 0.5 * (S * depsisq5 * pmusig5 * (epsilon5)/(sigma_sq5)^2)
wzdsig <- (sigx4 * wzdeno)
dpsq1 <- (depsisq1 * pmusig1/sqrt(sigma_sq1))
dpsq2 <- (depsisq2 * pmusig2/sqrt(sigma_sq2))
dpsq3 <- (depsisq3 * pmusig3/sqrt(sigma_sq3))
dpsq4 <- (depsisq4 * pmusig4/sqrt(sigma_sq4))
dpsq5 <- (depsisq5 * pmusig5/(sigma_sq5))
sigwz1 <- sigx4 * wzdsq1
sigwz2 <- sigx4 * wzdsq2
sigwz3 <- sigx4 * wzdsq3
sigwz4 <- sigx4 * wzdsq4
sigwz5 <- sigx4 * sqrt(sigma_sq5)
sigx5_1 <- 0.5 * (depsisq1 * pmusig1/(sigma_sq1))
sigx5_2 <- 0.5 * (depsisq2 * pmusig2/(sigma_sq2))
sigx5_3 <- 0.5 * (depsisq3 * pmusig3/(sigma_sq3))
sigx5_4 <- 0.5 * (depsisq4 * pmusig4/(sigma_sq4))
sqewu1 <- (1/sqsq1 - sigx2_1 * ewu1/sqsq1^2)
sqewu2 <- (1/sqsq2 - sigx2_2 * ewu2/sqsq2^2)
sqewu3 <- (1/sqsq3 - sigx2_3 * ewu3/sqsq3^2)
sqewu4 <- (1/sqsq4 - sigx2_4 * ewu4/sqsq4^2)
sqewu5 <- (1/sqsq5 - sigx2_5 * ewu5/sqsq5^2)
sigx6_1 <- (S * (dpepsisq1 - sqewu1 * dmusig1 * depsisq1) *
(epsilon1) - sigx5_1)
sigx6_2 <- (S * (dpepsisq2 - sqewu2 * dmusig2 * depsisq2) *
(epsilon2) - sigx5_2)
sigx6_3 <- (S * (dpepsisq3 - sqewu3 * dmusig3 * depsisq3) *
(epsilon3) - sigx5_3)
sigx6_4 <- (S * (dpepsisq4 - sqewu4 * dmusig4 * depsisq4) *
(epsilon4) - sigx5_4)
sigx6_5 <- (S * (dpepsisq5 - sqewu5 * dmusig5 * depsisq5) *
(epsilon5) - 0.5 * dpsq5)
sigx7_1 <- (S * (sigx3_1 * dmusig1 * depsisq1 * ewu1/sqsq1^2 +
dpepsisq1) * (epsilon1) - sigx5_1)
sigx7_2 <- (S * (sigx3_2 * dmusig2 * depsisq2 * ewu2/sqsq2^2 +
dpepsisq2) * (epsilon2) - sigx5_2)
sigx7_3 <- (S * (sigx3_3 * dmusig3 * depsisq3 * ewu3/sqsq3^2 +
dpepsisq3) * (epsilon3) - sigx5_3)
sigx7_4 <- (S * (sigx3_4 * dmusig4 * depsisq4 * ewu4/sqsq4^2 +
dpepsisq4) * (epsilon4) - sigx5_4)
sigx7_5 <- (S * (sigx3_5 * dmusig5 * depsisq5 * ewu5/sqsq5^2 +
dpepsisq5) * (epsilon5) - 0.5 * dpsq5)
gradll <- cbind(sweep(Xvar, MARGIN = 1, STATS = 2 * (S *
sigx1_1 * ewz1/sigsq_1), FUN = "*"), sweep(uHvar, MARGIN = 1,
STATS = 2 * (ewu1 * ewz1 * sigx6_1/(sigwz1)), FUN = "*"),
sweep(vHvar, MARGIN = 1, STATS = 2 * (ewv1 * ewz1 * sigx7_1/(sigwz1)),
FUN = "*"), sweep(Xvar, MARGIN = 1, STATS = 2 * (S *
sigx1_2 * ewz2/sigsq_2), FUN = "*"), sweep(uHvar,
MARGIN = 1, STATS = 2 * (ewu2 * ewz2 * sigx6_2/(sigwz2)),
FUN = "*"), sweep(vHvar, MARGIN = 1, STATS = 2 *
(ewv2 * ewz2 * sigx7_2/(sigwz2)), FUN = "*"), sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * sigx1_3 * ewz3/sigsq_3),
FUN = "*"), sweep(uHvar, MARGIN = 1, STATS = 2 *
(ewu3 * ewz3 * sigx6_3/(sigwz3)), FUN = "*"), sweep(vHvar,
MARGIN = 1, STATS = 2 * (ewv3 * ewz3 * sigx7_3/(sigwz3)),
FUN = "*"), sweep(Xvar, MARGIN = 1, STATS = 2 * (S *
sigx1_4 * ewz4/sigsq_4), FUN = "*"), sweep(uHvar,
MARGIN = 1, STATS = 2 * (ewu4 * ewz4 * sigx6_4/(sigwz4)),
FUN = "*"), sweep(vHvar, MARGIN = 1, STATS = 2 *
(ewv4 * ewz4 * sigx7_4/(sigwz4)), FUN = "*"), sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * prC * sigx1_5/sigsq_5),
FUN = "*"), sweep(uHvar, MARGIN = 1, STATS = 2 *
(prC * ewu5 * sigx6_5/(sigwz5)), FUN = "*"), sweep(vHvar,
MARGIN = 1, STATS = 2 * (prC * ewv5 * sigx7_5/(sigwz5)),
FUN = "*"), sweep(Zvar, MARGIN = 1, STATS = (2 *
dpsq1 - sigx4) * ewz1/wzdsig, FUN = "*"), sweep(Zvar,
MARGIN = 1, STATS = (2 * dpsq2 - sigx4) * ewz2/wzdsig,
FUN = "*"), sweep(Zvar, MARGIN = 1, STATS = (2 *
dpsq3 - sigx4) * ewz3/wzdsig, FUN = "*"), sweep(Zvar,
MARGIN = 1, STATS = (2 * dpsq4 - sigx4) * ewz4/wzdsig,
FUN = "*"))
return(sweep(gradll, MARGIN = 1, STATS = wHvar, FUN = "*"))
}
# Hessian of the likelihood function ----------
#' hessian for lcm 5 classes halfnormal-normal distribution
#' @param parm all parameters to be estimated
#' @param nXvar number of main variables (inputs + env. var)
#' @param nuZUvar number of Zu variables
#' @param nvZVvar number of Zv variables
#' @param uHvar matrix of Zu variables
#' @param vHvar matrix of Zv variables
#' @param Yvar vector of dependent variable
#' @param Xvar matrix of main variables
#' @param S integer for cost/prod estimation
#' @param wHvar vector of weights (weighted likelihood)
#' @param Zvar matrix of separating variables
#' @param nZHvar number of separating variables
#' @noRd
chessLCMhalfnormlike5C <- function(parm, nXvar, nuZUvar, nvZVvar,
uHvar, vHvar, Yvar, Xvar, S, wHvar, Zvar, nZHvar) {
beta1 <- parm[1:(nXvar)]
delta1 <- parm[(nXvar + 1):(nXvar + nuZUvar)]
phi1 <- parm[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar)]
beta2 <- parm[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
nuZUvar + nvZVvar)]
delta2 <- parm[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + nvZVvar)]
phi2 <- parm[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)]
beta3 <- parm[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)]
delta3 <- parm[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 2 * nvZVvar)]
phi3 <- parm[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)]
beta4 <- parm[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)]
delta4 <- parm[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 3 * nvZVvar)]
phi4 <- parm[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)]
beta5 <- parm[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)]
delta5 <- parm[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 4 * nvZVvar)]
phi5 <- parm[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar)]
theta1 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar)]
theta2 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar)]
theta3 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar)]
theta4 <- parm[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar)]
Wu1 <- as.numeric(crossprod(matrix(delta1), t(uHvar)))
Wu2 <- as.numeric(crossprod(matrix(delta2), t(uHvar)))
Wu3 <- as.numeric(crossprod(matrix(delta3), t(uHvar)))
Wu4 <- as.numeric(crossprod(matrix(delta4), t(uHvar)))
Wu5 <- as.numeric(crossprod(matrix(delta5), t(uHvar)))
Wv1 <- as.numeric(crossprod(matrix(phi1), t(vHvar)))
Wv2 <- as.numeric(crossprod(matrix(phi2), t(vHvar)))
Wv3 <- as.numeric(crossprod(matrix(phi3), t(vHvar)))
Wv4 <- as.numeric(crossprod(matrix(phi4), t(vHvar)))
Wv5 <- as.numeric(crossprod(matrix(phi5), t(vHvar)))
Wz1 <- as.numeric(crossprod(matrix(theta1), t(Zvar)))
Wz2 <- as.numeric(crossprod(matrix(theta2), t(Zvar)))
Wz3 <- as.numeric(crossprod(matrix(theta3), t(Zvar)))
Wz4 <- as.numeric(crossprod(matrix(theta4), t(Zvar)))
epsilon1 <- Yvar - as.numeric(crossprod(matrix(beta1), t(Xvar)))
epsilon2 <- Yvar - as.numeric(crossprod(matrix(beta2), t(Xvar)))
epsilon3 <- Yvar - as.numeric(crossprod(matrix(beta3), t(Xvar)))
epsilon4 <- Yvar - as.numeric(crossprod(matrix(beta4), t(Xvar)))
epsilon5 <- Yvar - as.numeric(crossprod(matrix(beta5), t(Xvar)))
ewu1 <- exp(Wu1)
ewv1 <- exp(Wv1)
ewu2 <- exp(Wu2)
ewv2 <- exp(Wv2)
ewu3 <- exp(Wu3)
ewv3 <- exp(Wv3)
ewu4 <- exp(Wu4)
ewv4 <- exp(Wv4)
ewu5 <- exp(Wu5)
ewv5 <- exp(Wv5)
ewz1 <- exp(Wz1)
ewz2 <- exp(Wz2)
ewz3 <- exp(Wz3)
ewz4 <- exp(Wz4)
sigma_sq1 <- ewu1 + ewv1
sigma_sq2 <- ewu2 + ewv2
sigma_sq3 <- ewu3 + ewv3
sigma_sq4 <- ewu4 + ewv4
sigma_sq5 <- ewu5 + ewv5
sigmastar1 <- sqrt(ewu1 * ewv1/(sigma_sq1))
sigmastar2 <- sqrt(ewu2 * ewv2/(sigma_sq2))
sigmastar3 <- sqrt(ewu3 * ewv3/(sigma_sq3))
sigmastar4 <- sqrt(ewu4 * ewv4/(sigma_sq4))
sigmastar5 <- sqrt(ewu5 * ewv5/(sigma_sq5))
dmusig1 <- dnorm(-(S * ewu1 * (epsilon1)/((sigma_sq1) * sigmastar1)))
dmusig2 <- dnorm(-(S * ewu2 * (epsilon2)/((sigma_sq2) * sigmastar2)))
dmusig3 <- dnorm(-(S * ewu3 * (epsilon3)/((sigma_sq3) * sigmastar3)))
dmusig4 <- dnorm(-(S * ewu4 * (epsilon4)/((sigma_sq4) * sigmastar4)))
dmusig5 <- dnorm(-(S * ewu5 * (epsilon5)/((sigma_sq5) * sigmastar5)))
pmusig1 <- pnorm(-(S * ewu1 * (epsilon1)/((sigma_sq1) * sigmastar1)))
pmusig2 <- pnorm(-(S * ewu2 * (epsilon2)/((sigma_sq2) * sigmastar2)))
pmusig3 <- pnorm(-(S * ewu3 * (epsilon3)/((sigma_sq3) * sigmastar3)))
pmusig4 <- pnorm(-(S * ewu4 * (epsilon4)/((sigma_sq4) * sigmastar4)))
pmusig5 <- pnorm(-(S * ewu5 * (epsilon5)/((sigma_sq5) * sigmastar5)))
depsisq1 <- dnorm(S * (epsilon1)/sqrt(sigma_sq1))
depsisq2 <- dnorm(S * (epsilon2)/sqrt(sigma_sq2))
depsisq3 <- dnorm(S * (epsilon3)/sqrt(sigma_sq3))
depsisq4 <- dnorm(S * (epsilon4)/sqrt(sigma_sq4))
depsisq5 <- dnorm(S * (epsilon5)/sqrt(sigma_sq5))
sigx1_1 <- (dmusig1 * depsisq1 * ewu1/sigmastar1 + S * depsisq1 *
pmusig1 * (epsilon1))
sigx1_2 <- (dmusig2 * depsisq2 * ewu2/sigmastar2 + S * depsisq2 *
pmusig2 * (epsilon2))
sigx1_3 <- (dmusig3 * depsisq3 * ewu3/sigmastar3 + S * depsisq3 *
pmusig3 * (epsilon3))
sigx1_4 <- (dmusig4 * depsisq4 * ewu4/sigmastar4 + S * depsisq4 *
pmusig4 * (epsilon4))
sigx1_5 <- (dmusig5 * depsisq5 * ewu5/sigmastar5 + S * depsisq5 *
pmusig5 * (epsilon5))
sqsq1 <- ((sigma_sq1) * sigmastar1)
sqsq2 <- ((sigma_sq2) * sigmastar2)
sqsq3 <- ((sigma_sq3) * sigmastar3)
sqsq4 <- ((sigma_sq4) * sigmastar4)
sqsq5 <- ((sigma_sq5) * sigmastar5)
sigx2_1 <- (0.5 * ((1 - ewu1/(sigma_sq1)) * ewv1/sigmastar1) +
sigmastar1)
sigx2_2 <- (0.5 * ((1 - ewu2/(sigma_sq2)) * ewv2/sigmastar2) +
sigmastar2)
sigx2_3 <- (0.5 * ((1 - ewu3/(sigma_sq3)) * ewv3/sigmastar3) +
sigmastar3)
sigx2_4 <- (0.5 * ((1 - ewu4/(sigma_sq4)) * ewv4/sigmastar4) +
sigmastar4)
sigx2_5 <- (0.5 * ((1 - ewu5/(sigma_sq5)) * ewv5/sigmastar5) +
sigmastar5)
sigx3_1 <- (0.5 * ((1 - ewv1/(sigma_sq1)) * ewu1/sigmastar1) +
sigmastar1)
sigx3_2 <- (0.5 * ((1 - ewv2/(sigma_sq2)) * ewu2/sigmastar2) +
sigmastar2)
sigx3_3 <- (0.5 * ((1 - ewv3/(sigma_sq3)) * ewu3/sigmastar3) +
sigmastar3)
sigx3_4 <- (0.5 * ((1 - ewv4/(sigma_sq4)) * ewu4/sigmastar4) +
sigmastar4)
sigx3_5 <- (0.5 * ((1 - ewv5/(sigma_sq5)) * ewu5/sigmastar5) +
sigmastar5)
wzdeno <- (1 + ewz1 + ewz2 + ewz3 + ewz4)
prC <- (1 - (ewz1 + ewz2 + ewz3 + ewz4)/wzdeno)
wzdsq1 <- wzdeno * sqrt(sigma_sq1)
wzdsq2 <- wzdeno * sqrt(sigma_sq2)
wzdsq3 <- wzdeno * sqrt(sigma_sq3)
wzdsq4 <- wzdeno * sqrt(sigma_sq4)
wzlogit1 <- (depsisq1 * ewz1 * pmusig1/sqrt(sigma_sq1))
wzlogit2 <- (depsisq2 * ewz2 * pmusig2/sqrt(sigma_sq2))
wzlogit3 <- (depsisq3 * ewz3 * pmusig3/sqrt(sigma_sq3))
wzlogit4 <- (depsisq4 * ewz4 * pmusig4/sqrt(sigma_sq4))
wzlogit5 <- (prC * depsisq5 * pmusig5/sqrt(sigma_sq5))
sigx4 <- ((2 * wzlogit1 + 2 * wzlogit2 + 2 * wzlogit3 + 2 *
wzlogit4)/wzdeno + 2 * wzlogit5)
sigsq_1 <- (sigx4 * wzdeno * (sigma_sq1) * sqrt(sigma_sq1))
sigsq_2 <- (sigx4 * wzdeno * (sigma_sq2) * sqrt(sigma_sq2))
sigsq_3 <- (sigx4 * wzdeno * (sigma_sq3) * sqrt(sigma_sq3))
sigsq_4 <- (sigx4 * wzdeno * (sigma_sq4) * sqrt(sigma_sq4))
sigsq_5 <- (sigx4 * (sigma_sq5) * sqrt(sigma_sq5))
dpepsisq1 <- 0.5 * (S * depsisq1 * pmusig1 * (epsilon1)/(sigma_sq1)^2)
dpepsisq2 <- 0.5 * (S * depsisq2 * pmusig2 * (epsilon2)/(sigma_sq2)^2)
dpepsisq3 <- 0.5 * (S * depsisq3 * pmusig3 * (epsilon3)/(sigma_sq3)^2)
dpepsisq4 <- 0.5 * (S * depsisq4 * pmusig4 * (epsilon4)/(sigma_sq4)^2)
dpepsisq5 <- 0.5 * (S * depsisq5 * pmusig5 * (epsilon5)/(sigma_sq5)^2)
wzdsig <- (sigx4 * wzdeno)
dpsq1 <- (depsisq1 * pmusig1/sqrt(sigma_sq1))
dpsq2 <- (depsisq2 * pmusig2/sqrt(sigma_sq2))
dpsq3 <- (depsisq3 * pmusig3/sqrt(sigma_sq3))
dpsq4 <- (depsisq4 * pmusig4/sqrt(sigma_sq4))
dpsq5 <- (depsisq5 * pmusig5/(sigma_sq5))
sigwz1 <- sigx4 * wzdsq1
sigwz2 <- sigx4 * wzdsq2
sigwz3 <- sigx4 * wzdsq3
sigwz4 <- sigx4 * wzdsq4
sigwz5 <- sigx4 * sqrt(sigma_sq5)
sigx5_1 <- 0.5 * (depsisq1 * pmusig1/(sigma_sq1))
sigx5_2 <- 0.5 * (depsisq2 * pmusig2/(sigma_sq2))
sigx5_3 <- 0.5 * (depsisq3 * pmusig3/(sigma_sq3))
sigx5_4 <- 0.5 * (depsisq4 * pmusig4/(sigma_sq4))
sqewu1 <- (1/sqsq1 - sigx2_1 * ewu1/sqsq1^2)
sqewu2 <- (1/sqsq2 - sigx2_2 * ewu2/sqsq2^2)
sqewu3 <- (1/sqsq3 - sigx2_3 * ewu3/sqsq3^2)
sqewu4 <- (1/sqsq4 - sigx2_4 * ewu4/sqsq4^2)
sqewu5 <- (1/sqsq5 - sigx2_5 * ewu5/sqsq5^2)
sigx6_1 <- (S * (dpepsisq1 - sqewu1 * dmusig1 * depsisq1) *
(epsilon1) - sigx5_1)
sigx6_2 <- (S * (dpepsisq2 - sqewu2 * dmusig2 * depsisq2) *
(epsilon2) - sigx5_2)
sigx6_3 <- (S * (dpepsisq3 - sqewu3 * dmusig3 * depsisq3) *
(epsilon3) - sigx5_3)
sigx6_4 <- (S * (dpepsisq4 - sqewu4 * dmusig4 * depsisq4) *
(epsilon4) - sigx5_4)
sigx6_5 <- (S * (dpepsisq5 - sqewu5 * dmusig5 * depsisq5) *
(epsilon5) - 0.5 * dpsq5)
sigx7_1 <- (S * (sigx3_1 * dmusig1 * depsisq1 * ewu1/sqsq1^2 +
dpepsisq1) * (epsilon1) - sigx5_1)
sigx7_2 <- (S * (sigx3_2 * dmusig2 * depsisq2 * ewu2/sqsq2^2 +
dpepsisq2) * (epsilon2) - sigx5_2)
sigx7_3 <- (S * (sigx3_3 * dmusig3 * depsisq3 * ewu3/sqsq3^2 +
dpepsisq3) * (epsilon3) - sigx5_3)
sigx7_4 <- (S * (sigx3_4 * dmusig4 * depsisq4 * ewu4/sqsq4^2 +
dpepsisq4) * (epsilon4) - sigx5_4)
sigx7_5 <- (S * (sigx3_5 * dmusig5 * depsisq5 * ewu5/sqsq5^2 +
dpepsisq5) * (epsilon5) - 0.5 * dpsq5)
sigx4wzsq <- sigx4 * wzdeno^2
sigx8_1 <- (sigx4 * wzdeno * (sigma_sq1)/sqrt(sigma_sq1))
sigx8_2 <- (sigx4 * wzdeno * (sigma_sq2)/sqrt(sigma_sq2))
sigx8_3 <- (sigx4 * wzdeno * (sigma_sq3)/sqrt(sigma_sq3))
sigx8_4 <- (sigx4 * wzdeno * (sigma_sq4)/sqrt(sigma_sq4))
sigx9_1 <- (sigx4 * wzdeno/sqrt(sigma_sq1))
sigx9_2 <- (sigx4 * wzdeno/sqrt(sigma_sq2))
sigx9_3 <- (sigx4 * wzdeno/sqrt(sigma_sq3))
sigx9_4 <- (sigx4 * wzdeno/sqrt(sigma_sq4))
wusq1 <- 1 - ewu1/(sigma_sq1)
wvsq1 <- 1 - ewv1/(sigma_sq1)
wusq2 <- 1 - ewu2/(sigma_sq2)
wvsq2 <- 1 - ewv2/(sigma_sq2)
wusq3 <- 1 - ewu3/(sigma_sq3)
wvsq3 <- 1 - ewv3/(sigma_sq3)
wusq4 <- 1 - ewu4/(sigma_sq4)
wvsq4 <- 1 - ewv4/(sigma_sq4)
wusq5 <- 1 - ewu5/(sigma_sq5)
wvsq5 <- 1 - ewv5/(sigma_sq5)
dwp1 <- depsisq1 * ewz1 * pmusig1
dwp2 <- depsisq2 * ewz2 * pmusig2
dwp3 <- depsisq3 * ewz3 * pmusig3
dwp4 <- depsisq4 * ewz4 * pmusig4
wzlx4 <- (2 * wzlogit1 + 2 * wzlogit2 + 2 * wzlogit3 + 2 *
wzlogit4)/wzdeno
duv1 <- depsisq1 * ewu1/ewv1 + depsisq1
duv2 <- depsisq2 * ewu2/ewv2 + depsisq2
duv3 <- depsisq3 * ewu3/ewv3 + depsisq3
duv4 <- depsisq4 * ewu4/ewv4 + depsisq4
duv5 <- depsisq5 * ewu5/ewv5 + depsisq5
pepsisq1 <- (S * pmusig1 * (epsilon1)/(sigma_sq1)^2)
pepsisq2 <- (S * pmusig2 * (epsilon2)/(sigma_sq2)^2)
pepsisq3 <- (S * pmusig3 * (epsilon3)/(sigma_sq3)^2)
pepsisq4 <- (S * pmusig4 * (epsilon4)/(sigma_sq4)^2)
pepsisq5 <- (S * pmusig5 * (epsilon5)/(sigma_sq5)^2)
dep1sq1 <- depsisq1/(sigma_sq1)
dep1sq2 <- depsisq2/(sigma_sq2)
dep1sq3 <- depsisq3/(sigma_sq3)
dep1sq4 <- depsisq4/(sigma_sq4)
dep1sq5 <- depsisq5/(sigma_sq5)
sigx10_1 <- (0.5 * (S * (dmusig1 * ewu1/sigmastar1 + S *
pmusig1 * (epsilon1)) * (epsilon1)/(sigma_sq1) - pmusig1) -
0.5 * pmusig1) * dep1sq1
sigx10_2 <- (0.5 * (S * (dmusig2 * ewu2/sigmastar2 + S *
pmusig2 * (epsilon2)) * (epsilon2)/(sigma_sq2) - pmusig2) -
0.5 * pmusig2) * dep1sq2
sigx10_3 <- (0.5 * (S * (dmusig3 * ewu3/sigmastar3 + S *
pmusig3 * (epsilon3)) * (epsilon3)/(sigma_sq3) - pmusig3) -
0.5 * pmusig3) * dep1sq3
sigx10_4 <- (0.5 * (S * (dmusig4 * ewu4/sigmastar4 + S *
pmusig4 * (epsilon4)) * (epsilon4)/(sigma_sq4) - pmusig4) -
0.5 * pmusig4) * dep1sq4
sigx10_5 <- (0.5 * (S * (dmusig5 * ewu5/sigmastar5 + S *
pmusig5 * (epsilon5)) * (epsilon5)/(sigma_sq5) - pmusig5) -
0.5 * pmusig5) * dep1sq5
sigx11_1 <- (dpepsisq1 - sqewu1 * dmusig1 * depsisq1)
sigx11_2 <- (dpepsisq2 - sqewu2 * dmusig2 * depsisq2)
sigx11_3 <- (dpepsisq3 - sqewu3 * dmusig3 * depsisq3)
sigx11_4 <- (dpepsisq4 - sqewu4 * dmusig4 * depsisq4)
sigx11_5 <- (dpepsisq5 - sqewu5 * dmusig5 * depsisq5)
sigx12_1 <- ((S * sigx11_1 * (epsilon1) - depsisq1 * pmusig1/(sigma_sq1))/(sigma_sq1))
sigx12_2 <- ((S * sigx11_2 * (epsilon2) - depsisq2 * pmusig2/(sigma_sq2))/(sigma_sq2))
sigx12_3 <- ((S * sigx11_3 * (epsilon3) - depsisq3 * pmusig3/(sigma_sq3))/(sigma_sq3))
sigx12_4 <- ((S * sigx11_4 * (epsilon4) - depsisq4 * pmusig4/(sigma_sq4))/(sigma_sq4))
sigx12_5 <- ((S * sigx11_5 * (epsilon5) - depsisq5 * pmusig5/(sigma_sq5))/(sigma_sq5))
sigx13_1 <- (S * (sigx3_1 * dmusig1 * depsisq1 * ewu1/sqsq1^2 +
dpepsisq1) * (epsilon1) - depsisq1 * pmusig1/(sigma_sq1))
sigx13_2 <- (S * (sigx3_2 * dmusig2 * depsisq2 * ewu2/sqsq2^2 +
dpepsisq2) * (epsilon2) - depsisq2 * pmusig2/(sigma_sq2))
sigx13_3 <- (S * (sigx3_3 * dmusig3 * depsisq3 * ewu3/sqsq3^2 +
dpepsisq3) * (epsilon3) - depsisq3 * pmusig3/(sigma_sq3))
sigx13_4 <- (S * (sigx3_4 * dmusig4 * depsisq4 * ewu4/sqsq4^2 +
dpepsisq4) * (epsilon4) - depsisq4 * pmusig4/(sigma_sq4))
sigx13_5 <- (S * (sigx3_5 * dmusig5 * depsisq5 * ewu5/sqsq5^2 +
dpepsisq5) * (epsilon5) - depsisq5 * pmusig5/(sigma_sq5))
wzsigx4_1 <- ((sigwz5)^2 * wzdeno * (sigma_sq1)^(3/2))
wzsigx4_2 <- ((sigwz5)^2 * wzdeno * (sigma_sq2)^(3/2))
wzsigx4_3 <- ((sigwz5)^2 * wzdeno * (sigma_sq3)^(3/2))
wzsigx4_4 <- ((sigwz5)^2 * wzdeno * (sigma_sq4)^(3/2))
sigx4wsq1 <- ((2 * dpsq1 - sigx4)/wzdsig^2)
sigx4wsq2 <- ((2 * dpsq2 - sigx4)/wzdsig^2)
sigx4wsq3 <- ((2 * dpsq3 - sigx4)/wzdsig^2)
sigx4wsq4 <- ((2 * dpsq4 - sigx4)/wzdsig^2)
sigx4w1z <- (2 * sigx4wsq1 + 2/(sigx4wzsq))
sigx4w2z <- (2 * sigx4wsq2 + 2/(sigx4wzsq))
sigx4w3z <- (2 * sigx4wsq3 + 2/(sigx4wzsq))
sigx4w4z <- (2 * sigx4wsq4 + 2/(sigx4wzsq))
sigx4w5z <- ((2 - 2 * (ewz1/wzdeno))/wzdsig - 2 * ((2 * dpsq1 -
sigx4) * ewz1/wzdsig^2))
sigx4w6z <- ((2 - 2 * (ewz2/wzdeno))/wzdsig - 2 * ((2 * dpsq2 -
sigx4) * ewz2/wzdsig^2))
sigx4w7z <- ((2 - 2 * (ewz3/wzdeno))/wzdsig - 2 * ((2 * dpsq3 -
sigx4) * ewz3/wzdsig^2))
sigx4w8z <- ((2 - 2 * (ewz4/wzdeno))/wzdsig - 2 * ((2 * dpsq4 -
sigx4) * ewz4/wzdsig^2))
sigx4w9z <- (2 * (wzdeno * sigx4wsq1) + 2/wzdsig)
sigx4w10z <- (2 * (wzdeno * sigx4wsq2) + 2/wzdsig)
sigx4w11z <- (2 * (wzdeno * sigx4wsq3) + 2/wzdsig)
sigx4w12z <- (2 * (wzdeno * sigx4wsq4) + 2/wzdsig)
sigx4w13z <- (0.5 * (sigx4/sqrt(sigma_sq5)) + 2 * (prC *
sigx6_5))
sigx4w14z <- (sigx4 * (sigma_sq5)/sqrt(sigma_sq5))
sigx4w15z <- (2 * dpsq1 - sigx4)
sigx4w16z <- (2 * dpsq2 - sigx4)
sigx4w17z <- (2 * dpsq3 - sigx4)
sigx4w18z <- (2 * dpsq4 - sigx4)
sigx4w19z <- (sigx4w15z * sqrt(sigma_sq5)/(sigwz5)^2 + 1/(sigwz5))
sigx4w20z <- (sigx4w16z * sqrt(sigma_sq5)/(sigwz5)^2 + 1/(sigwz5))
sigx4w21z <- (sigx4w17z * sqrt(sigma_sq5)/(sigwz5)^2 + 1/(sigwz5))
sigx4w22z <- (sigx4w18z * sqrt(sigma_sq5)/(sigwz5)^2 + 1/(sigwz5))
dwz1 <- (wzdsig^2 * sqrt(sigma_sq1))
dwz2 <- (wzdsig^2 * sqrt(sigma_sq2))
dwz3 <- (wzdsig^2 * sqrt(sigma_sq3))
dwz4 <- (wzdsig^2 * sqrt(sigma_sq4))
dwzep1 <- depsisq1 * pmusig1/dwz1
dwzep2 <- depsisq2 * pmusig2/dwz2
dwzep3 <- depsisq3 * pmusig3/dwz3
dwzep4 <- depsisq4 * pmusig4/dwz4
wzc1 <- sigsq_5^2 * wzdeno
wzc2 <- sigx4 * wzdeno
sigx14_1 <- (0.5 * pepsisq1 - sqewu1 * dmusig1)
sigx14_2 <- (0.5 * pepsisq2 - sqewu2 * dmusig2)
sigx14_3 <- (0.5 * pepsisq3 - sqewu3 * dmusig3)
sigx14_4 <- (0.5 * pepsisq4 - sqewu4 * dmusig4)
sigx14_5 <- (0.5 * pepsisq5 - sqewu5 * dmusig5)
sigx15_1 <- (S * depsisq1 * (S * sigx14_1 * (epsilon1) -
2 * (pmusig1/(sigma_sq1))) * (epsilon1)/(sigma_sq1)^2)
sigx15_2 <- (S * depsisq2 * (S * sigx14_2 * (epsilon2) -
2 * (pmusig2/(sigma_sq2))) * (epsilon2)/(sigma_sq2)^2)
sigx15_3 <- (S * depsisq3 * (S * sigx14_3 * (epsilon3) -
2 * (pmusig3/(sigma_sq3))) * (epsilon3)/(sigma_sq3)^2)
sigx15_4 <- (S * depsisq4 * (S * sigx14_4 * (epsilon4) -
2 * (pmusig4/(sigma_sq4))) * (epsilon4)/(sigma_sq4)^2)
sigx15_5 <- (S * depsisq5 * (S * sigx14_5 * (epsilon5) -
2 * (pmusig5/(sigma_sq5))) * (epsilon5)/(sigma_sq5)^2)
sigx16_1 <- (sigx3_1 * dmusig1 * ewu1/sqsq1^2 + 0.5 * pepsisq1)
sigx16_2 <- (sigx3_2 * dmusig2 * ewu2/sqsq2^2 + 0.5 * pepsisq2)
sigx16_3 <- (sigx3_3 * dmusig3 * ewu3/sqsq3^2 + 0.5 * pepsisq3)
sigx16_4 <- (sigx3_4 * dmusig4 * ewu4/sqsq4^2 + 0.5 * pepsisq4)
sigx16_5 <- (sigx3_5 * dmusig5 * ewu5/sqsq5^2 + 0.5 * pepsisq5)
s3xq1 <- (sigma_sq1) * sigmastar1/sqsq1^2
s3xq2 <- (sigma_sq2) * sigmastar2/sqsq2^2
s3xq3 <- (sigma_sq3) * sigmastar3/sqsq3^2
s3xq4 <- (sigma_sq4) * sigmastar4/sqsq4^2
s3xq5 <- (sigma_sq5) * sigmastar5/sqsq5^2
sigx17_1 <- (0.5 * sigx9_1 + 2 * (ewz1 * sigx6_1))
sigx17_2 <- (0.5 * sigx9_2 + 2 * (ewz2 * sigx6_2))
sigx17_3 <- (0.5 * sigx9_3 + 2 * (ewz3 * sigx6_3))
sigx17_4 <- (0.5 * sigx9_4 + 2 * (ewz4 * sigx6_4))
sigx18_1 <- (0.5 * sigx9_1 + 2 * (ewz1 * sigx7_1))
sigx18_2 <- (0.5 * sigx9_2 + 2 * (ewz2 * sigx7_2))
sigx18_3 <- (0.5 * sigx9_3 + 2 * (ewz3 * sigx7_3))
sigx18_4 <- (0.5 * sigx9_4 + 2 * (ewz4 * sigx7_4))
sigx19_1 <- (S * sigx16_1 * (epsilon1) - 2 * (pmusig1/(sigma_sq1)))
sigx19_2 <- (S * sigx16_2 * (epsilon2) - 2 * (pmusig2/(sigma_sq2)))
sigx19_3 <- (S * sigx16_3 * (epsilon3) - 2 * (pmusig3/(sigma_sq3)))
sigx19_4 <- (S * sigx16_4 * (epsilon4) - 2 * (pmusig4/(sigma_sq4)))
sigx19_5 <- (S * sigx16_5 * (epsilon5) - 2 * (pmusig5/(sigma_sq5)))
hessll <- matrix(nrow = (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar), ncol = (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar))
hessll[1:nXvar, 1:nXvar] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = 2 * (S^2 * ((depsisq1 * (S * (dmusig1 * ewu1/sigmastar1 +
S * pmusig1 * (epsilon1)) * (epsilon1)/(sigma_sq1) -
pmusig1) + S * dmusig1 * (duv1) * ewu1 * (epsilon1)/sqsq1)/sigsq_1 -
2 * (sigx1_1^2 * ewz1/sigsq_1^2)) * ewz1) * wHvar,
FUN = "*"), Xvar)
hessll[1:nXvar, (nXvar + 1):(nXvar + nuZUvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * ((sqewu1 * dmusig1 * depsisq1 +
(S * (sigx10_1 - S * sqewu1 * dmusig1 * (duv1) *
(epsilon1)) * (epsilon1) - 0.5 * (sigx1_1/(sigma_sq1)))/(sigma_sq1))/(sigwz1) -
2 * (sigx1_1 * ewz1 * sigx6_1/((sigwz1)^2 * (sigma_sq1)))) *
ewu1 * ewz1) * wHvar, FUN = "*"), uHvar)
hessll[1:nXvar, (nXvar + nuZUvar + 1):(nXvar + nuZUvar +
nvZVvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = 2 *
(S * (((S * (sigx10_1 + S * sigx3_1 * dmusig1 * (duv1) *
ewu1 * (epsilon1)/sqsq1^2) * (epsilon1) - 0.5 * (sigx1_1/(sigma_sq1)))/(sigma_sq1) -
sigx3_1 * dmusig1 * depsisq1 * ewu1/sqsq1^2)/(sigwz1) -
2 * (sigx1_1 * ewz1 * sigx7_1/((sigwz1)^2 * (sigma_sq1)))) *
ewv1 * ewz1) * wHvar, FUN = "*"), vHvar)
hessll[1:nXvar, (nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
nuZUvar + nvZVvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(4 * (S^2 * sigx1_1 * sigx1_2 * (sigma_sq2) *
ewz1 * ewz2 * sqrt(sigma_sq2)/(sigsq_2^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), Xvar)
hessll[1:nXvar, (2 * nXvar + nuZUvar + nvZVvar + 1):(2 *
nXvar + 2 * nuZUvar + nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_1 * ewu2 * ewz1 *
ewz2 * sigx6_2 * sqrt(sigma_sq2)/((sigwz2)^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), uHvar)
hessll[1:nXvar, (2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_1 * ewv2 * ewz1 *
ewz2 * sigx7_2 * sqrt(sigma_sq2)/((sigwz2)^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), vHvar)
hessll[1:nXvar, (2 * nXvar + 2 * nuZUvar + 2 * nvZVvar +
1):(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * sigx1_1 * sigx1_3 *
(sigma_sq3) * ewz1 * ewz3 * sqrt(sigma_sq3)/(sigsq_3^2 *
(sigma_sq1)^(3/2)))) * wHvar, FUN = "*"), Xvar)
hessll[1:nXvar, (3 * nXvar + 2 * nuZUvar + 2 * nvZVvar +
1):(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_1 * ewu3 * ewz1 *
ewz3 * sigx6_3 * sqrt(sigma_sq3)/((sigwz3)^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), uHvar)
hessll[1:nXvar, (3 * nXvar + 3 * nuZUvar + 2 * nvZVvar +
1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_1 * ewv3 * ewz1 *
ewz3 * sigx7_3 * sqrt(sigma_sq3)/((sigwz3)^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), vHvar)
hessll[1:nXvar, (3 * nXvar + 3 * nuZUvar + 3 * nvZVvar +
1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * sigx1_1 * sigx1_4 *
(sigma_sq4) * ewz1 * ewz4 * sqrt(sigma_sq4)/(sigsq_4^2 *
(sigma_sq1)^(3/2)))) * wHvar, FUN = "*"), Xvar)
hessll[1:nXvar, (4 * nXvar + 3 * nuZUvar + 3 * nvZVvar +
1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_1 * ewu4 * ewz1 *
ewz4 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), uHvar)
hessll[1:nXvar, (4 * nXvar + 4 * nuZUvar + 3 * nvZVvar +
1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_1 * ewv4 * ewz1 *
ewz4 * sigx7_4 * sqrt(sigma_sq4)/((sigwz4)^2 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), vHvar)
hessll[1:nXvar, (4 * nXvar + 4 * nuZUvar + 4 * nvZVvar +
1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * prC * sigx1_1 * sigx1_5 *
(sigma_sq5) * ewz1 * sqrt(sigma_sq5)/(wzc1 * (sigma_sq1)^(3/2)))) *
wHvar, FUN = "*"), Xvar)
hessll[1:nXvar, (5 * nXvar + 4 * nuZUvar + 4 * nvZVvar +
1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_1 * ewu5 *
ewz1 * sigx6_5 * sqrt(sigma_sq5)/wzsigx4_1)) * wHvar,
FUN = "*"), uHvar)
hessll[1:nXvar, (5 * nXvar + 5 * nuZUvar + 4 * nvZVvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_1 * ewv5 *
ewz1 * sigx7_5 * sqrt(sigma_sq5)/wzsigx4_1)) * wHvar,
FUN = "*"), vHvar)
hessll[1:nXvar, (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = S * sigx4w5z * sigx1_1 * ewz1/((sigma_sq1)^(3/2)) *
wHvar, FUN = "*"), Zvar)
hessll[1:nXvar, (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
2 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w2z * sigx1_1 * ewz1 * ewz2/((sigma_sq1)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[1:nXvar, (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w3z * sigx1_1 * ewz1 * ewz3/((sigma_sq1)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[1:nXvar, (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w4z * sigx1_1 * ewz1 * ewz4/((sigma_sq1)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (nXvar + 1):(nXvar +
nuZUvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = 2 *
(((ewu1 * (S * (0.5 * sigx15_1 - (0.5 * (S^2 * sqewu1 *
depsisq1 * (epsilon1)^2/(sigma_sq1)^2) - (((0.5 *
(ewu1/(sigma_sq1)) + 1 - 0.5 * (0.5 * (wusq1) + ewu1/(sigma_sq1))) *
(wusq1) * ewv1/sigmastar1 + (2 - 2 * (sigx2_1^2 *
ewu1 * (sigma_sq1)/sqsq1^2)) * sigmastar1)/sqsq1^2 +
S^2 * sqewu1^2 * ewu1 * (epsilon1)^2/sqsq1) * depsisq1) *
dmusig1) * (epsilon1) - 0.5 * sigx12_1) + S * sigx11_1 *
(epsilon1) - sigx5_1)/(sigwz1) - sigx17_1 * ewu1 *
sigx6_1/(sigwz1)^2) * ewu1 * ewz1) * wHvar, FUN = "*"),
uHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (nXvar + nuZUvar +
1):(nXvar + nuZUvar + nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((S * (((((0.5 * ((wusq1) *
ewv1) - S^2 * sigx3_1 * sqewu1 * ewu1 * (epsilon1)^2)/(sigma_sq1) +
0.5 * ((ewu1/(sigma_sq1) - 1) * ewv1/(sigma_sq1) +
1 - 0.5 * ((wusq1) * (wvsq1)))) * depsisq1/sigmastar1 +
0.5 * (S^2 * sigx3_1 * depsisq1 * (epsilon1)^2/(sigma_sq1)^2)) *
ewu1 + sigx3_1 * (1 - 2 * (sigx2_1 * ewu1 * s3xq1)) *
depsisq1) * dmusig1/sqsq1^2 + 0.5 * sigx15_1) * (epsilon1) -
0.5 * sigx12_1)/(sigwz1) - sigx17_1 * sigx7_1/(sigwz1)^2) *
ewu1 * ewv1 * ewz1) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (nXvar + nuZUvar +
nvZVvar + 1):(2 * nXvar + nuZUvar + nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_2 * ewu1 * (sigma_sq2) *
ewz1 * ewz2 * sigx6_1 * sqrt(sigma_sq2)/(sigsq_2^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (2 * nXvar + nuZUvar +
nvZVvar + 1):(2 * nXvar + 2 * nuZUvar + nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu1 * ewu2 * ewz1 * ewz2 *
sigx6_1 * sigx6_2 * sqrt(sigma_sq2)/((sigwz2)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (2 * nXvar + 2 * nuZUvar +
nvZVvar + 1):(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu1 * ewv2 * ewz1 * ewz2 *
sigx7_2 * sigx6_1 * sqrt(sigma_sq2)/((sigwz2)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (2 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_3 * ewu1 * (sigma_sq3) *
ewz1 * ewz3 * sigx6_1 * sqrt(sigma_sq3)/(sigsq_3^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (3 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu1 * ewu3 * ewz1 * ewz3 *
sigx6_1 * sigx6_3 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (3 * nXvar + 3 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu1 * ewv3 * ewz1 * ewz3 *
sigx7_3 * sigx6_1 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (3 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_4 * ewu1 * (sigma_sq4) *
ewz1 * ewz4 * sigx6_1 * sqrt(sigma_sq4)/(sigsq_4^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu1 * ewu4 * ewz1 * ewz4 *
sigx6_1 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu1 * ewv4 * ewz1 * ewz4 *
sigx7_4 * sigx6_1 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * ewu1 *
(sigma_sq5) * ewz1 * sigx6_1 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq1))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu1 * ewu5 * ewz1 *
sigx6_1 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq1))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu1 * ewv5 * ewz1 *
sigx7_5 * sigx6_1 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq1))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = sigx4w5z *
ewu1 * ewz1 * sigx6_1/sqrt(sigma_sq1) * wHvar, FUN = "*"),
Zvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w2z * ewu1 * ewz1 * ewz2 *
sigx6_1/sqrt(sigma_sq1)) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w3z * ewu1 * ewz1 * ewz3 *
sigx6_1/sqrt(sigma_sq1)) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + 1):(nXvar + nuZUvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w4z * ewu1 * ewz1 * ewz4 *
sigx6_1/sqrt(sigma_sq1)) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = 2 * (((S * ((((0.5 * (ewv1/(sigma_sq1)) -
0.5 * (0.5 * (wvsq1) + ewv1/(sigma_sq1))) * (wvsq1) +
S^2 * sigx3_1^2 * ewu1 * ewv1 * (epsilon1)^2/(sqsq1^2 *
(sigma_sq1))) * depsisq1 * ewu1/sigmastar1 +
((0.5 * (S^2 * depsisq1 * (epsilon1)^2/(sigma_sq1)^2) -
2 * (sigx3_1 * depsisq1 * s3xq1)) * ewv1 + depsisq1) *
sigx3_1) * dmusig1 * ewu1/sqsq1^2 + S * (0.5 *
(ewv1 * sigx19_1) + 0.5 * pmusig1) * depsisq1 * (epsilon1)/(sigma_sq1)^2) *
(epsilon1) - (0.5 * (depsisq1 * pmusig1) + 0.5 *
(ewv1 * sigx13_1))/(sigma_sq1))/(sigwz1) - sigx18_1 *
ewv1 * sigx7_1/(sigwz1)^2) * ewv1 * ewz1) * wHvar,
FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar)] <- crossprod(sweep(vHvar, MARGIN = 1, STATS = -(4 *
(S * sigx1_2 * (sigma_sq2) * ewv1 * ewz1 * ewz2 * sigx7_1 *
sqrt(sigma_sq2)/(sigsq_2^2 * sqrt(sigma_sq1)))) *
wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar)] <- crossprod(sweep(vHvar, MARGIN = 1,
STATS = -(4 * (ewu2 * ewv1 * ewz1 * ewz2 * sigx7_1 *
sigx6_2 * sqrt(sigma_sq2)/((sigwz2)^2 * sqrt(sigma_sq1)))) *
wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewv1 * ewv2 * ewz1 * ewz2 *
sigx7_1 * sigx7_2 * sqrt(sigma_sq2)/((sigwz2)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_3 * (sigma_sq3) *
ewv1 * ewz1 * ewz3 * sigx7_1 * sqrt(sigma_sq3)/(sigsq_3^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewu3 * ewv1 * ewz1 * ewz3 *
sigx7_1 * sigx6_3 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewv1 * ewv3 * ewz1 * ewz3 *
sigx7_1 * sigx7_3 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_4 * (sigma_sq4) *
ewv1 * ewz1 * ewz4 * sigx7_1 * sqrt(sigma_sq4)/(sigsq_4^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewu4 * ewv1 * ewz1 * ewz4 *
sigx7_1 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewv1 * ewv4 * ewz1 * ewz4 *
sigx7_1 * sigx7_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq1)))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * (sigma_sq5) *
ewv1 * ewz1 * sigx7_1 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq1))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu5 * ewv1 * ewz1 *
sigx7_1 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq1))) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewv1 * ewv5 * ewz1 *
sigx7_1 * sigx7_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq1))) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = sigx4w5z * ewv1 * ewz1 * sigx7_1/sqrt(sigma_sq1) *
wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w2z * ewv1 * ewz1 * ewz2 *
sigx7_1/sqrt(sigma_sq1)) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w3z * ewv1 * ewz1 * ewz3 *
sigx7_1/sqrt(sigma_sq1)) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + 1):(nXvar + nuZUvar + nvZVvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w4z * ewv1 * ewz1 * ewz4 *
sigx7_1/sqrt(sigma_sq1)) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
nuZUvar + nvZVvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = 2 * (S^2 * ((depsisq2 * (S * (dmusig2 * ewu2/sigmastar2 +
S * pmusig2 * (epsilon2)) * (epsilon2)/(sigma_sq2) -
pmusig2) + S * dmusig2 * (duv2) * ewu2 * (epsilon2)/sqsq2)/sigsq_2 -
2 * (sigx1_2^2 * ewz2/sigsq_2^2)) * ewz2) * wHvar,
FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + nvZVvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = 2 * (S * ((sqewu2 * dmusig2 * depsisq2 + (S *
(sigx10_2 - S * sqewu2 * dmusig2 * (duv2) * (epsilon2)) *
(epsilon2) - 0.5 * (sigx1_2/(sigma_sq2)))/(sigma_sq2))/(sigwz2) -
2 * (sigx1_2 * ewz2 * sigx6_2/((sigwz2)^2 * (sigma_sq2)))) *
ewu2 * ewz2) * wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * (((S * (sigx10_2 + S * sigx3_2 *
dmusig2 * (duv2) * ewu2 * (epsilon2)/sqsq2^2) * (epsilon2) -
0.5 * (sigx1_2/(sigma_sq2)))/(sigma_sq2) - sigx3_2 *
dmusig2 * depsisq2 * ewu2/sqsq2^2)/(sigwz2) - 2 *
(sigx1_2 * ewz2 * sigx7_2/((sigwz2)^2 * (sigma_sq2)))) *
ewv2 * ewz2) * wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * sigx1_2 * sigx1_3 *
(sigma_sq3) * ewz2 * ewz3 * sqrt(sigma_sq3)/(sigsq_3^2 *
(sigma_sq2)^(3/2)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_2 * ewu3 * ewz2 *
ewz3 * sigx6_3 * sqrt(sigma_sq3)/((sigwz3)^2 * (sigma_sq2)^(3/2)))) *
wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_2 * ewv3 * ewz2 *
ewz3 * sigx7_3 * sqrt(sigma_sq3)/((sigwz3)^2 * (sigma_sq2)^(3/2)))) *
wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * sigx1_2 * sigx1_4 *
(sigma_sq4) * ewz2 * ewz4 * sqrt(sigma_sq4)/(sigsq_4^2 *
(sigma_sq2)^(3/2)))) * wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_2 * ewu4 * ewz2 *
ewz4 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 * (sigma_sq2)^(3/2)))) *
wHvar, FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_2 * ewv4 * ewz2 *
ewz4 * sigx7_4 * sqrt(sigma_sq4)/((sigwz4)^2 * (sigma_sq2)^(3/2)))) *
wHvar, FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * prC * sigx1_2 * sigx1_5 *
(sigma_sq5) * ewz2 * sqrt(sigma_sq5)/(wzc1 * (sigma_sq2)^(3/2)))) *
wHvar, FUN = "*"), Xvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_2 * ewu5 *
ewz2 * sigx6_5 * sqrt(sigma_sq5)/wzsigx4_2)) * wHvar,
FUN = "*"), uHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_2 * ewv5 *
ewz2 * sigx7_5 * sqrt(sigma_sq5)/wzsigx4_2)) * wHvar,
FUN = "*"), vHvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(S * sigx4w1z * sigx1_2 * ewz1 *
ewz2/((sigma_sq2)^(3/2))) * wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = S * sigx4w6z * sigx1_2 * ewz2/((sigma_sq2)^(3/2)) *
wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w3z * sigx1_2 * ewz2 * ewz3/((sigma_sq2)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + nuZUvar +
nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 *
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w4z * sigx1_2 * ewz2 * ewz4/((sigma_sq2)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (2 * nXvar + nuZUvar + nvZVvar +
1):(2 * nXvar + 2 * nuZUvar + nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((ewu2 * (S * (0.5 * sigx15_2 -
(0.5 * (S^2 * sqewu2 * depsisq2 * (epsilon2)^2/(sigma_sq2)^2) -
(((0.5 * (ewu2/(sigma_sq2)) + 1 - 0.5 * (0.5 *
(wusq2) + ewu2/(sigma_sq2))) * (wusq2) * ewv2/sigmastar2 +
(2 - 2 * (sigx2_2^2 * ewu2 * (sigma_sq2)/sqsq2^2)) *
sigmastar2)/sqsq2^2 + S^2 * sqewu2^2 * ewu2 *
(epsilon2)^2/sqsq2) * depsisq2) * dmusig2) *
(epsilon2) - 0.5 * sigx12_2) + S * sigx11_2 * (epsilon2) -
sigx5_2)/(sigwz2) - sigx17_2 * ewu2 * sigx6_2/(sigwz2)^2) *
ewu2 * ewz2) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (2 * nXvar + 2 * nuZUvar + nvZVvar +
1):(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((S * (((((0.5 * ((wusq2) *
ewv2) - S^2 * sigx3_2 * sqewu2 * ewu2 * (epsilon2)^2)/(sigma_sq2) +
0.5 * ((ewu2/(sigma_sq2) - 1) * ewv2/(sigma_sq2) +
1 - 0.5 * ((wusq2) * (wvsq2)))) * depsisq2/sigmastar2 +
0.5 * (S^2 * sigx3_2 * depsisq2 * (epsilon2)^2/(sigma_sq2)^2)) *
ewu2 + sigx3_2 * (1 - 2 * (sigx2_2 * ewu2 * s3xq2)) *
depsisq2) * dmusig2/sqsq2^2 + 0.5 * sigx15_2) * (epsilon2) -
0.5 * sigx12_2)/(sigwz2) - sigx17_2 * sigx7_2/(sigwz2)^2) *
ewu2 * ewv2 * ewz2) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (2 * nXvar + 2 * nuZUvar + 2 * nvZVvar +
1):(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_3 * ewu2 * (sigma_sq3) *
ewz2 * ewz3 * sigx6_2 * sqrt(sigma_sq3)/(sigsq_3^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (3 * nXvar + 2 * nuZUvar + 2 * nvZVvar +
1):(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu2 * ewu3 * ewz2 * ewz3 *
sigx6_2 * sigx6_3 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (3 * nXvar + 3 * nuZUvar + 2 * nvZVvar +
1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu2 * ewv3 * ewz2 * ewz3 *
sigx7_3 * sigx6_2 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (3 * nXvar + 3 * nuZUvar + 3 * nvZVvar +
1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_4 * ewu2 * (sigma_sq4) *
ewz2 * ewz4 * sigx6_2 * sqrt(sigma_sq4)/(sigsq_4^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (4 * nXvar + 3 * nuZUvar + 3 * nvZVvar +
1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu2 * ewu4 * ewz2 * ewz4 *
sigx6_2 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (4 * nXvar + 4 * nuZUvar + 3 * nvZVvar +
1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu2 * ewv4 * ewz2 * ewz4 *
sigx7_4 * sigx6_2 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (4 * nXvar + 4 * nuZUvar + 4 * nvZVvar +
1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * ewu2 *
(sigma_sq5) * ewz2 * sigx6_2 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq2))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (5 * nXvar + 4 * nuZUvar + 4 * nvZVvar +
1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu2 * ewu5 * ewz2 *
sigx6_2 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq2))) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (5 * nXvar + 5 * nuZUvar + 4 * nvZVvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu2 * ewv5 * ewz2 *
sigx7_5 * sigx6_2 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq2))) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w1z * ewu2 * ewz1 * ewz2 *
sigx6_2/sqrt(sigma_sq2)) * wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
2 * nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = sigx4w6z *
ewu2 * ewz2 * sigx6_2/sqrt(sigma_sq2) * wHvar, FUN = "*"),
Zvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = -(sigx4w3z *
ewu2 * ewz2 * ewz3 * sigx6_2/sqrt(sigma_sq2)) * wHvar,
FUN = "*"), Zvar)
hessll[(2 * nXvar + nuZUvar + nvZVvar + 1):(2 * nXvar + 2 *
nuZUvar + nvZVvar), (5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
4 * nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = -(sigx4w4z *
ewu2 * ewz2 * ewz4 * sigx6_2/sqrt(sigma_sq2)) * wHvar,
FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (2 * nXvar + 2 * nuZUvar +
nvZVvar + 1):(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = 2 * (((S * ((((0.5 * (ewv2/(sigma_sq2)) -
0.5 * (0.5 * (wvsq2) + ewv2/(sigma_sq2))) * (wvsq2) +
S^2 * sigx3_2^2 * ewu2 * ewv2 * (epsilon2)^2/(sqsq2^2 *
(sigma_sq2))) * depsisq2 * ewu2/sigmastar2 +
((0.5 * (S^2 * depsisq2 * (epsilon2)^2/(sigma_sq2)^2) -
2 * (sigx3_2 * depsisq2 * s3xq2)) * ewv2 + depsisq2) *
sigx3_2) * dmusig2 * ewu2/sqsq2^2 + S * (0.5 *
(ewv2 * sigx19_2) + 0.5 * pmusig2) * depsisq2 * (epsilon2)/(sigma_sq2)^2) *
(epsilon2) - (0.5 * (depsisq2 * pmusig2) + 0.5 *
(ewv2 * sigx13_2))/(sigma_sq2))/(sigwz2) - sigx18_2 *
ewv2 * sigx7_2/(sigwz2)^2) * ewv2 * ewz2) * wHvar,
FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (2 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_3 * (sigma_sq3) *
ewv2 * ewz2 * ewz3 * sigx7_2 * sqrt(sigma_sq3)/(sigsq_3^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewu3 * ewv2 * ewz2 * ewz3 *
sigx7_2 * sigx6_3 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewv2 * ewv3 * ewz2 * ewz3 *
sigx7_2 * sigx7_3 * sqrt(sigma_sq3)/((sigwz3)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_4 * (sigma_sq4) *
ewv2 * ewz2 * ewz4 * sigx7_2 * sqrt(sigma_sq4)/(sigsq_4^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewu4 * ewv2 * ewz2 * ewz4 *
sigx7_2 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewv2 * ewv4 * ewz2 * ewz4 *
sigx7_2 * sigx7_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq2)))) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * (sigma_sq5) *
ewv2 * ewz2 * sigx7_2 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq2))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu5 * ewv2 * ewz2 *
sigx7_2 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq2))) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewv2 * ewv5 * ewz2 *
sigx7_2 * sigx7_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq2))) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(vHvar, MARGIN = 1, STATS = -(sigx4w1z *
ewv2 * ewz1 * ewz2 * sigx7_2/sqrt(sigma_sq2)) * wHvar,
FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = sigx4w6z * ewv2 * ewz2 * sigx7_2/sqrt(sigma_sq2) *
wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w3z * ewv2 * ewz2 * ewz3 *
sigx7_2/sqrt(sigma_sq2)) * wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + nvZVvar + 1):(2 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w4z * ewv2 * ewz2 * ewz4 *
sigx7_2/sqrt(sigma_sq2)) * wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (2 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S^2 * ((depsisq3 * (S * (dmusig3 *
ewu3/sigmastar3 + S * pmusig3 * (epsilon3)) * (epsilon3)/(sigma_sq3) -
pmusig3) + S * dmusig3 * (duv3) * ewu3 * (epsilon3)/sqsq3)/sigsq_3 -
2 * (sigx1_3^2 * ewz3/sigsq_3^2)) * ewz3) * wHvar,
FUN = "*"), Xvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * ((sqewu3 * dmusig3 * depsisq3 +
(S * (sigx10_3 - S * sqewu3 * dmusig3 * (duv3) *
(epsilon3)) * (epsilon3) - 0.5 * (sigx1_3/(sigma_sq3)))/(sigma_sq3))/(sigwz3) -
2 * (sigx1_3 * ewz3 * sigx6_3/((sigwz3)^2 * (sigma_sq3)))) *
ewu3 * ewz3) * wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * (((S * (sigx10_3 + S * sigx3_3 *
dmusig3 * (duv3) * ewu3 * (epsilon3)/sqsq3^2) * (epsilon3) -
0.5 * (sigx1_3/(sigma_sq3)))/(sigma_sq3) - sigx3_3 *
dmusig3 * depsisq3 * ewu3/sqsq3^2)/(sigwz3) - 2 *
(sigx1_3 * ewz3 * sigx7_3/((sigwz3)^2 * (sigma_sq3)))) *
ewv3 * ewz3) * wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * sigx1_3 * sigx1_4 *
(sigma_sq4) * ewz3 * ewz4 * sqrt(sigma_sq4)/(sigsq_4^2 *
(sigma_sq3)^(3/2)))) * wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_3 * ewu4 * ewz3 *
ewz4 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 * (sigma_sq3)^(3/2)))) *
wHvar, FUN = "*"), uHvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_3 * ewv4 * ewz3 *
ewz4 * sigx7_4 * sqrt(sigma_sq4)/((sigwz4)^2 * (sigma_sq3)^(3/2)))) *
wHvar, FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * prC * sigx1_3 * sigx1_5 *
(sigma_sq5) * ewz3 * sqrt(sigma_sq5)/(wzc1 * (sigma_sq3)^(3/2)))) *
wHvar, FUN = "*"), Xvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_3 * ewu5 *
ewz3 * sigx6_5 * sqrt(sigma_sq5)/wzsigx4_3)) * wHvar,
FUN = "*"), uHvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_3 * ewv5 *
ewz3 * sigx7_5 * sqrt(sigma_sq5)/wzsigx4_3)) * wHvar,
FUN = "*"), vHvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w1z * sigx1_3 * ewz1 * ewz3/((sigma_sq3)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * sigx4w2z * sigx1_3 * ewz2 * ewz3/((sigma_sq3)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = S * sigx4w7z * sigx1_3 * ewz3/((sigma_sq3)^(3/2)) *
wHvar, FUN = "*"), Zvar)
hessll[(2 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
2 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * sigx4w4z * sigx1_3 * ewz3 * ewz4/((sigma_sq3)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 2 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((ewu3 * (S * (0.5 * sigx15_3 -
(0.5 * (S^2 * sqewu3 * depsisq3 * (epsilon3)^2/(sigma_sq3)^2) -
(((0.5 * (ewu3/(sigma_sq3)) + 1 - 0.5 * (0.5 *
(wusq3) + ewu3/(sigma_sq3))) * (wusq3) * ewv3/sigmastar3 +
(2 - 2 * (sigx2_3^2 * ewu3 * (sigma_sq3)/sqsq3^2)) *
sigmastar3)/sqsq3^2 + S^2 * sqewu3^2 * ewu3 *
(epsilon3)^2/sqsq3) * depsisq3) * dmusig3) *
(epsilon3) - 0.5 * sigx12_3) + S * sigx11_3 * (epsilon3) -
sigx5_3)/(sigwz3) - sigx17_3 * ewu3 * sigx6_3/(sigwz3)^2) *
ewu3 * ewz3) * wHvar, FUN = "*"), uHvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((S * (((((0.5 * ((wusq3) *
ewv3) - S^2 * sigx3_3 * sqewu3 * ewu3 * (epsilon3)^2)/(sigma_sq3) +
0.5 * ((ewu3/(sigma_sq3) - 1) * ewv3/(sigma_sq3) +
1 - 0.5 * ((wusq3) * (wvsq3)))) * depsisq3/sigmastar3 +
0.5 * (S^2 * sigx3_3 * depsisq3 * (epsilon3)^2/(sigma_sq3)^2)) *
ewu3 + sigx3_3 * (1 - 2 * (sigx2_3 * ewu3 * s3xq3)) *
depsisq3) * dmusig3/sqsq3^2 + 0.5 * sigx15_3) * (epsilon3) -
0.5 * sigx12_3)/(sigwz3) - sigx17_3 * sigx7_3/(sigwz3)^2) *
ewu3 * ewv3 * ewz3) * wHvar, FUN = "*"), vHvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_4 * ewu3 * (sigma_sq4) *
ewz3 * ewz4 * sigx6_3 * sqrt(sigma_sq4)/(sigsq_4^2 *
sqrt(sigma_sq3)))) * wHvar, FUN = "*"), Xvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu3 * ewu4 * ewz3 * ewz4 *
sigx6_3 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq3)))) * wHvar, FUN = "*"), uHvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (ewu3 * ewv4 * ewz3 * ewz4 *
sigx7_4 * sigx6_3 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq3)))) * wHvar, FUN = "*"), vHvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * ewu3 *
(sigma_sq5) * ewz3 * sigx6_3 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq3))) * wHvar, FUN = "*"), Xvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu3 * ewu5 * ewz3 *
sigx6_3 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq3))) * wHvar, FUN = "*"), uHvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu3 * ewv5 * ewz3 *
sigx7_5 * sigx6_3 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq3))) * wHvar, FUN = "*"), vHvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = -(sigx4w1z *
ewu3 * ewz1 * ewz3 * sigx6_3/sqrt(sigma_sq3)) * wHvar,
FUN = "*"), Zvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w2z * ewu3 * ewz2 * ewz3 *
sigx6_3/sqrt(sigma_sq3)) * wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = sigx4w7z * ewu3 * ewz3 * sigx6_3/sqrt(sigma_sq3) *
wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 2 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 2 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w4z * ewu3 * ewz3 * ewz4 *
sigx6_3/sqrt(sigma_sq3)) * wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
2 * nvZVvar + 1):(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = 2 * (((S * ((((0.5 * (ewv3/(sigma_sq3)) -
0.5 * (0.5 * (wvsq3) + ewv3/(sigma_sq3))) * (wvsq3) +
S^2 * sigx3_3^2 * ewu3 * ewv3 * (epsilon3)^2/(sqsq3^2 *
(sigma_sq3))) * depsisq3 * ewu3/sigmastar3 +
((0.5 * (S^2 * depsisq3 * (epsilon3)^2/(sigma_sq3)^2) -
2 * (sigx3_3 * depsisq3 * s3xq3)) * ewv3 + depsisq3) *
sigx3_3) * dmusig3 * ewu3/sqsq3^2 + S * (0.5 *
(ewv3 * sigx19_3) + 0.5 * pmusig3) * depsisq3 * (epsilon3)/(sigma_sq3)^2) *
(epsilon3) - (0.5 * (depsisq3 * pmusig3) + 0.5 *
(ewv3 * sigx13_3))/(sigma_sq3))/(sigwz3) - sigx18_3 *
ewv3 * sigx7_3/(sigwz3)^2) * ewv3 * ewz3) * wHvar,
FUN = "*"), vHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * sigx1_4 * (sigma_sq4) *
ewv3 * ewz3 * ewz4 * sigx7_3 * sqrt(sigma_sq4)/(sigsq_4^2 *
sqrt(sigma_sq3)))) * wHvar, FUN = "*"), Xvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewu4 * ewv3 * ewz3 * ewz4 *
sigx7_3 * sigx6_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq3)))) * wHvar, FUN = "*"), uHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (ewv3 * ewv4 * ewz3 * ewz4 *
sigx7_3 * sigx7_4 * sqrt(sigma_sq4)/((sigwz4)^2 *
sqrt(sigma_sq3)))) * wHvar, FUN = "*"), vHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * (sigma_sq5) *
ewv3 * ewz3 * sigx7_3 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq3))) * wHvar, FUN = "*"), Xvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu5 * ewv3 * ewz3 *
sigx7_3 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq3))) * wHvar, FUN = "*"), uHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewv3 * ewv5 * ewz3 *
sigx7_3 * sigx7_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq3))) * wHvar, FUN = "*"), vHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(vHvar, MARGIN = 1, STATS = -(sigx4w1z *
ewv3 * ewz1 * ewz3 * sigx7_3/sqrt(sigma_sq3)) * wHvar,
FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w2z * ewv3 * ewz2 * ewz3 *
sigx7_3/sqrt(sigma_sq3)) * wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = sigx4w7z * ewv3 * ewz3 * sigx7_3/sqrt(sigma_sq3) *
wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 2 * nvZVvar + 1):(3 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w4z * ewv3 * ewz3 * ewz4 *
sigx7_3/sqrt(sigma_sq3)) * wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (3 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S^2 * ((depsisq4 * (S * (dmusig4 *
ewu4/sigmastar4 + S * pmusig4 * (epsilon4)) * (epsilon4)/(sigma_sq4) -
pmusig4) + S * dmusig4 * (duv4) * ewu4 * (epsilon4)/sqsq4)/sigsq_4 -
2 * (sigx1_4^2 * ewz4/sigsq_4^2)) * ewz4) * wHvar,
FUN = "*"), Xvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * ((sqewu4 * dmusig4 * depsisq4 +
(S * (sigx10_4 - S * sqewu4 * dmusig4 * (duv4) *
(epsilon4)) * (epsilon4) - 0.5 * (sigx1_4/(sigma_sq4)))/(sigma_sq4))/(sigwz4) -
2 * (sigx1_4 * ewz4 * sigx6_4/((sigwz4)^2 * (sigma_sq4)))) *
ewu4 * ewz4) * wHvar, FUN = "*"), uHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * (((S * (sigx10_4 + S * sigx3_4 *
dmusig4 * (duv4) * ewu4 * (epsilon4)/sqsq4^2) * (epsilon4) -
0.5 * (sigx1_4/(sigma_sq4)))/(sigma_sq4) - sigx3_4 *
dmusig4 * depsisq4 * ewu4/sqsq4^2)/(sigwz4) - 2 *
(sigx1_4 * ewz4 * sigx7_4/((sigwz4)^2 * (sigma_sq4)))) *
ewv4 * ewz4) * wHvar, FUN = "*"), vHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S^2 * prC * sigx1_4 * sigx1_5 *
(sigma_sq5) * ewz4 * sqrt(sigma_sq5)/(wzc1 * (sigma_sq4)^(3/2)))) *
wHvar, FUN = "*"), Xvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_4 * ewu5 *
ewz4 * sigx6_5 * sqrt(sigma_sq5)/wzsigx4_4)) * wHvar,
FUN = "*"), uHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_4 * ewv5 *
ewz4 * sigx7_5 * sqrt(sigma_sq5)/wzsigx4_4)) * wHvar,
FUN = "*"), vHvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
sigx4w1z * sigx1_4 * ewz1 * ewz4/((sigma_sq4)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * sigx4w2z * sigx1_4 * ewz2 * ewz4/((sigma_sq4)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * sigx4w3z * sigx1_4 * ewz3 * ewz4/((sigma_sq4)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(3 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
3 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = S * sigx4w8z * sigx1_4 * ewz4/((sigma_sq4)^(3/2)) *
wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 3 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((ewu4 * (S * (0.5 * sigx15_4 -
(0.5 * (S^2 * sqewu4 * depsisq4 * (epsilon4)^2/(sigma_sq4)^2) -
(((0.5 * (ewu4/(sigma_sq4)) + 1 - 0.5 * (0.5 *
(wusq4) + ewu4/(sigma_sq4))) * (wusq4) * ewv4/sigmastar4 +
(2 - 2 * (sigx2_4^2 * ewu4 * (sigma_sq4)/sqsq4^2)) *
sigmastar4)/sqsq4^2 + S^2 * sqewu4^2 * ewu4 *
(epsilon4)^2/sqsq4) * depsisq4) * dmusig4) *
(epsilon4) - 0.5 * sigx12_4) + S * sigx11_4 * (epsilon4) -
sigx5_4)/(sigwz4) - sigx17_4 * ewu4 * sigx6_4/(sigwz4)^2) *
ewu4 * ewz4) * wHvar, FUN = "*"), uHvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((S * (((((0.5 * ((wusq4) *
ewv4) - S^2 * sigx3_4 * sqewu4 * ewu4 * (epsilon4)^2)/(sigma_sq4) +
0.5 * ((ewu4/(sigma_sq4) - 1) * ewv4/(sigma_sq4) +
1 - 0.5 * ((wusq4) * (wvsq4)))) * depsisq4/sigmastar4 +
0.5 * (S^2 * sigx3_4 * depsisq4 * (epsilon4)^2/(sigma_sq4)^2)) *
ewu4 + sigx3_4 * (1 - 2 * (sigx2_4 * ewu4 * s3xq4)) *
depsisq4) * dmusig4/sqsq4^2 + 0.5 * sigx15_4) * (epsilon4) -
0.5 * sigx12_4)/(sigwz4) - sigx17_4 * sigx7_4/(sigwz4)^2) *
ewu4 * ewv4 * ewz4) * wHvar, FUN = "*"), vHvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * ewu4 *
(sigma_sq5) * ewz4 * sigx6_4 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq4))) * wHvar, FUN = "*"), Xvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu4 * ewu5 * ewz4 *
sigx6_4 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq4))) * wHvar, FUN = "*"), uHvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu4 * ewv5 * ewz4 *
sigx7_5 * sigx6_4 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq4))) * wHvar, FUN = "*"), vHvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = -(sigx4w1z *
ewu4 * ewz1 * ewz4 * sigx6_4/sqrt(sigma_sq4)) * wHvar,
FUN = "*"), Zvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w2z * ewu4 * ewz2 * ewz4 *
sigx6_4/sqrt(sigma_sq4)) * wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(sigx4w3z * ewu4 * ewz3 * ewz4 *
sigx6_4/sqrt(sigma_sq4)) * wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 3 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 3 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = sigx4w8z * ewu4 * ewz4 * sigx6_4/sqrt(sigma_sq4) *
wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
3 * nvZVvar + 1):(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = 2 * (((S * ((((0.5 * (ewv4/(sigma_sq4)) -
0.5 * (0.5 * (wvsq4) + ewv4/(sigma_sq4))) * (wvsq4) +
S^2 * sigx3_4^2 * ewu4 * ewv4 * (epsilon4)^2/(sqsq4^2 *
(sigma_sq4))) * depsisq4 * ewu4/sigmastar4 +
((0.5 * (S^2 * depsisq4 * (epsilon4)^2/(sigma_sq4)^2) -
2 * (sigx3_4 * depsisq4 * s3xq4)) * ewv4 + depsisq4) *
sigx3_4) * dmusig4 * ewu4/sqsq4^2 + S * (0.5 *
(ewv4 * sigx19_4) + 0.5 * pmusig4) * depsisq4 * (epsilon4)/(sigma_sq4)^2) *
(epsilon4) - (0.5 * (depsisq4 * pmusig4) + 0.5 *
(ewv4 * sigx13_4))/(sigma_sq4))/(sigwz4) - sigx18_4 *
ewv4 * sigx7_4/(sigwz4)^2) * ewv4 * ewz4) * wHvar,
FUN = "*"), vHvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (S * prC * sigx1_5 * (sigma_sq5) *
ewv4 * ewz4 * sigx7_4 * sqrt(sigma_sq5)/(sigsq_5^2 *
wzdsq4))) * wHvar, FUN = "*"), Xvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewu5 * ewv4 * ewz4 *
sigx7_4 * sigx6_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq4))) * wHvar, FUN = "*"), uHvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(4 * (prC * ewv4 * ewv5 * ewz4 *
sigx7_4 * sigx7_5 * sqrt(sigma_sq5)/((sigwz5)^2 *
wzdsq4))) * wHvar, FUN = "*"), vHvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(vHvar, MARGIN = 1, STATS = -(sigx4w1z *
ewv4 * ewz1 * ewz4 * sigx7_4/sqrt(sigma_sq4)) * wHvar,
FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w2z * ewv4 * ewz2 * ewz4 *
sigx7_4/sqrt(sigma_sq4)) * wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(sigx4w3z * ewv4 * ewz3 * ewz4 *
sigx7_4/sqrt(sigma_sq4)) * wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 3 * nvZVvar + 1):(4 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = sigx4w8z * ewv4 * ewz4 * sigx7_4/sqrt(sigma_sq4) *
wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (4 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S^2 * ((depsisq5 * (S * (dmusig5 *
ewu5/sigmastar5 + S * pmusig5 * (epsilon5)) * (epsilon5)/(sigma_sq5) -
pmusig5) + S * dmusig5 * (duv5) * ewu5 * (epsilon5)/sqsq5)/sigsq_5 -
2 * (prC * sigx1_5^2/sigsq_5^2)) * prC) * wHvar,
FUN = "*"), Xvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * ((sqewu5 * dmusig5 * depsisq5 +
(S * (sigx10_5 - S * sqewu5 * dmusig5 * (duv5) *
(epsilon5)) * (epsilon5) - 0.5 * (sigx1_5/(sigma_sq5)))/(sigma_sq5))/(sigwz5) -
2 * (prC * sigx1_5 * sigx6_5/((sigwz5)^2 * (sigma_sq5)))) *
prC * ewu5) * wHvar, FUN = "*"), uHvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(Xvar,
MARGIN = 1, STATS = 2 * (S * (((S * (sigx10_5 + S * sigx3_5 *
dmusig5 * (duv5) * ewu5 * (epsilon5)/sqsq5^2) * (epsilon5) -
0.5 * (sigx1_5/(sigma_sq5)))/(sigma_sq5) - sigx3_5 *
dmusig5 * depsisq5 * ewu5/sqsq5^2)/(sigwz5) - 2 *
(prC * sigx1_5 * sigx7_5/((sigwz5)^2 * (sigma_sq5)))) *
prC * ewv5) * wHvar, FUN = "*"), vHvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1, STATS = -(S *
prC * sigx4w9z * sigx1_5 * ewz1/((sigma_sq5)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * prC * sigx4w10z * sigx1_5 * ewz2/((sigma_sq5)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * prC * sigx4w11z * sigx1_5 * ewz3/((sigma_sq5)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(4 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
4 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Xvar, MARGIN = 1,
STATS = -(S * prC * sigx4w12z * sigx1_5 * ewz4/((sigma_sq5)^(3/2))) *
wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 4 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((ewu5 * (S * (0.5 * sigx15_5 -
(0.5 * (S^2 * sqewu5 * depsisq5 * (epsilon5)^2/(sigma_sq5)^2) -
(((0.5 * (ewu5/(sigma_sq5)) + 1 - 0.5 * (0.5 *
(wusq5) + ewu5/(sigma_sq5))) * (wusq5) * ewv5/sigmastar5 +
(2 - 2 * (sigx2_5^2 * ewu5 * (sigma_sq5)/sqsq5^2)) *
sigmastar5)/sqsq5^2 + S^2 * sqewu5^2 * ewu5 *
(epsilon5)^2/sqsq5) * depsisq5) * dmusig5) *
(epsilon5) - 0.5 * sigx12_5) + S * sigx11_5 * (epsilon5) -
0.5 * dpsq5)/(sigwz5) - sigx4w13z * ewu5 * sigx6_5/(sigwz5)^2) *
prC * ewu5) * wHvar, FUN = "*"), uHvar)
hessll[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = 2 * (((S * (((((0.5 * ((wusq5) *
ewv5) - S^2 * sigx3_5 * sqewu5 * ewu5 * (epsilon5)^2)/(sigma_sq5) +
0.5 * ((ewu5/(sigma_sq5) - 1) * ewv5/(sigma_sq5) +
1 - 0.5 * ((wusq5) * (wvsq5)))) * depsisq5/sigmastar5 +
0.5 * (S^2 * sigx3_5 * depsisq5 * (epsilon5)^2/(sigma_sq5)^2)) *
ewu5 + sigx3_5 * (1 - 2 * (sigx2_5 * ewu5 * s3xq5)) *
depsisq5) * dmusig5/sqsq5^2 + 0.5 * sigx15_5) * (epsilon5) -
0.5 * sigx12_5)/(sigwz5) - sigx4w13z * sigx7_5/(sigwz5)^2) *
prC * ewu5 * ewv5) * wHvar, FUN = "*"), vHvar)
hessll[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(uHvar, MARGIN = 1, STATS = -(prC *
sigx4w9z * ewu5 * ewz1 * sigx6_5/sqrt(sigma_sq5)) * wHvar,
FUN = "*"), Zvar)
hessll[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(prC * sigx4w10z * ewu5 * ewz2 *
sigx6_5/sqrt(sigma_sq5)) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(prC * sigx4w11z * ewu5 * ewz3 *
sigx6_5/sqrt(sigma_sq5)) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 4 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 4 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(uHvar,
MARGIN = 1, STATS = -(prC * sigx4w12z * ewu5 * ewz4 *
sigx6_5/sqrt(sigma_sq5)) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
4 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = 2 * (((S * ((((0.5 * (ewv5/(sigma_sq5)) -
0.5 * (0.5 * (wvsq5) + ewv5/(sigma_sq5))) * (wvsq5) +
S^2 * sigx3_5^2 * ewu5 * ewv5 * (epsilon5)^2/(sqsq5^2 *
(sigma_sq5))) * depsisq5 * ewu5/sigmastar5 +
((0.5 * (S^2 * depsisq5 * (epsilon5)^2/(sigma_sq5)^2) -
2 * (sigx3_5 * depsisq5 * s3xq5)) * ewv5 + depsisq5) *
sigx3_5) * dmusig5 * ewu5/sqsq5^2 + S * (0.5 *
(ewv5 * sigx19_5) + 0.5 * pmusig5) * depsisq5 * (epsilon5)/(sigma_sq5)^2) *
(epsilon5) - (0.5 * (depsisq5 * pmusig5) + 0.5 *
(ewv5 * sigx13_5))/(sigma_sq5))/(sigwz5) - (0.5 *
(sigx4/sqrt(sigma_sq5)) + 2 * (prC * sigx7_5)) *
ewv5 * sigx7_5/(sigwz5)^2) * prC * ewv5) * wHvar,
FUN = "*"), vHvar)
hessll[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar +
nZHvar)] <- crossprod(sweep(vHvar, MARGIN = 1, STATS = -(prC *
sigx4w9z * ewv5 * ewz1 * sigx7_5/sqrt(sigma_sq5)) * wHvar,
FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(prC * sigx4w10z * ewv5 * ewz2 *
sigx7_5/sqrt(sigma_sq5)) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(prC * sigx4w11z * ewv5 * ewz3 *
sigx7_5/sqrt(sigma_sq5)) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 4 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar), (5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(vHvar,
MARGIN = 1, STATS = -(prC * sigx4w12z * ewv5 * ewz4 *
sigx7_5/sqrt(sigma_sq5)) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + nZHvar), (5 * nXvar + 5 *
nuZUvar + 5 * nvZVvar + 1):(5 * nXvar + 5 * nuZUvar +
5 * nvZVvar + nZHvar)] <- crossprod(sweep(Zvar, MARGIN = 1,
STATS = ((1 - ewz1/wzdeno)/wzdsig - 2 * (dwp1/dwz1)) *
sigx4w15z * ewz1 * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + nZHvar), (5 * nXvar + 5 *
nuZUvar + 5 * nvZVvar + nZHvar + 1):(5 * nXvar + 5 *
nuZUvar + 5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = -((sigx4w15z/(sigx4wzsq) + 2 * (sigx4w16z *
dwzep1)) * ewz1 * ewz2) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + nZHvar), (5 * nXvar + 5 *
nuZUvar + 5 * nvZVvar + 2 * nZHvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = -((sigx4w15z/(sigx4wzsq) + 2 * (sigx4w17z *
dwzep1)) * ewz1 * ewz3) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + nZHvar), (5 * nXvar + 5 *
nuZUvar + 5 * nvZVvar + 3 * nZHvar + 1):(5 * nXvar +
5 * nuZUvar + 5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = -((sigx4w15z/(sigx4wzsq) + 2 * (sigx4w18z *
dwzep1)) * ewz1 * ewz4) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar + 1):(5 *
nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = ((1 - ewz2/wzdeno)/wzdsig - 2 * (dwp2/dwz2)) *
sigx4w16z * ewz2 * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = -((sigx4w16z/(sigx4wzsq) + 2 * (sigx4w17z *
dwzep2)) * ewz2 * ewz3) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = -((sigx4w16z/(sigx4wzsq) + 2 * (sigx4w18z *
dwzep2)) * ewz2 * ewz4) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = ((1 - ewz3/wzdeno)/wzdsig - 2 * (dwp3/dwz3)) *
sigx4w17z * ewz3 * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 2 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = -((sigx4w17z/(sigx4wzsq) + 2 * (sigx4w18z *
dwzep3)) * ewz3 * ewz4) * wHvar, FUN = "*"), Zvar)
hessll[(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 4 * nZHvar),
(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 3 * nZHvar +
1):(5 * nXvar + 5 * nuZUvar + 5 * nvZVvar + 4 * nZHvar)] <- crossprod(sweep(Zvar,
MARGIN = 1, STATS = ((1 - ewz4/wzdeno)/wzdsig - 2 * (dwp4/dwz4)) *
sigx4w18z * ewz4 * wHvar, FUN = "*"), Zvar)
hessll[lower.tri(hessll)] <- t(hessll)[lower.tri(hessll)]
# hessll <- (hessll + (hessll))/2
return(hessll)
}
# Optimization using different algorithms ----------
#' optimizations solve for lcm 5 classes halfnormal-normal distribution
#' @param start starting value for optimization
#' @param olsParam OLS coefficients
#' @param dataTable dataframe contains id of observations
#' @param nXvar number of main variables (inputs + env. var)
#' @param nuZUvar number of Zu variables
#' @param nvZVvar number of Zv variables
#' @param uHvar matrix of Zu variables
#' @param vHvar matrix of Zv variables
#' @param Yvar vector of dependent variable
#' @param Xvar matrix of main variables
#' @param Zvar matrix of separating variables
#' @param nZHvar number of separating variables
#' @param S integer for cost/prod estimation
#' @param wHvar vector of weights (weighted likelihood)
#' @param method algorithm for solver
#' @param printInfo logical print info during optimization
#' @param itermax maximum iteration
#' @param whichStart strategy to get starting values
#' @param initIter maximum iterations for initialization
#' @param initAlg algorithm for maxLik
#' @param stepmax stepmax for ucminf
#' @param tol parameter tolerance
#' @param gradtol gradient tolerance
#' @param hessianType how hessian is computed
#' @param qac qac option for maxLik
#' @noRd
LCM5ChnormAlgOpt <- function(start, olsParam, dataTable, S, wHvar,
nXvar, uHvar, nuZUvar, vHvar, nvZVvar, Zvar, nZHvar, Yvar,
Xvar, method, printInfo, itermax, stepmax, tol, gradtol,
whichStart, initIter, initAlg, hessianType, qac) {
if (!is.null(start)) {
startVal <- start
} else {
start_st <- csLCMfhalfnorm5C(olsObj = olsParam, epsiRes = dataTable[["olsResiduals"]],
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar,
whichStart = whichStart, initIter = initIter, initAlg = initAlg,
tol = tol, printInfo = printInfo)
initHalf <- start_st$initHalf
startVal <- start_st$StartVal
}
startLoglik <- sum(cLCMhalfnormlike5C(startVal, nXvar = nXvar,
nuZUvar = nuZUvar, nvZVvar = nvZVvar, uHvar = uHvar,
vHvar = vHvar, Yvar = Yvar, Xvar = Xvar, S = S, wHvar = wHvar,
Zvar = Zvar, nZHvar = nZHvar))
if (method %in% c("bfgs", "bhhh", "nr", "nm", "cg", "sann")) {
maxRoutine <- switch(method, bfgs = function(...) maxLik::maxBFGS(...),
bhhh = function(...) maxLik::maxBHHH(...), nr = function(...) maxLik::maxNR(...),
nm = function(...) maxLik::maxNM(...), cg = function(...) maxLik::maxCG(...),
sann = function(...) maxLik::maxSANN(...))
method <- "maxLikAlgo"
}
cat("LCM 5 Classes Estimation...\n")
mleObj <- switch(method, ucminf = ucminf::ucminf(par = startVal,
fn = function(parm) -sum(cLCMhalfnormlike5C(parm, nXvar = nXvar,
nuZUvar = nuZUvar, nvZVvar = nvZVvar, uHvar = uHvar,
vHvar = vHvar, Yvar = Yvar, Xvar = Xvar, S = S, wHvar = wHvar,
Zvar = Zvar, nZHvar = nZHvar)), gr = function(parm) -colSums(cgradLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
hessian = 0, control = list(trace = if (printInfo) 1 else 0,
maxeval = itermax, stepmax = stepmax, xtol = tol,
grtol = gradtol)), maxLikAlgo = maxRoutine(fn = cLCMhalfnormlike5C,
grad = cgradLCMhalfnormlike5C, hess = chessLCMhalfnormlike5C,
start = startVal, finalHessian = if (hessianType == 2) "bhhh" else TRUE,
control = list(printLevel = if (printInfo) 2 else 0,
iterlim = itermax, reltol = tol, tol = tol, qac = qac),
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar),
sr1 = trustOptim::trust.optim(x = startVal, fn = function(parm) -sum(cLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
gr = function(parm) -colSums(cgradLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
method = "SR1", control = list(maxit = itermax, cgtol = gradtol,
stop.trust.radius = tol, prec = tol, report.level = if (printInfo) 2 else 0,
report.precision = 1L)), sparse = trustOptim::trust.optim(x = startVal,
fn = function(parm) -sum(cLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
gr = function(parm) -colSums(cgradLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
hs = function(parm) as(-chessLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar),
"dgCMatrix"), method = "Sparse", control = list(maxit = itermax,
cgtol = gradtol, stop.trust.radius = tol, prec = tol,
report.level = if (printInfo) 2 else 0, report.precision = 1L,
preconditioner = 1L)), mla = marqLevAlg::mla(b = startVal,
fn = function(parm) -sum(cLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
gr = function(parm) -colSums(cgradLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
hess = function(parm) -chessLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar),
print.info = printInfo, maxiter = itermax, epsa = gradtol,
epsb = gradtol), nlminb = nlminb(start = startVal,
objective = function(parm) -sum(cLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
gradient = function(parm) -colSums(cgradLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)),
hessian = function(parm) -chessLCMhalfnormlike5C(parm,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar),
control = list(iter.max = itermax, trace = if (printInfo) 1 else 0,
eval.max = itermax, rel.tol = tol, x.tol = tol)))
if (method %in% c("ucminf", "nlminb")) {
mleObj$gradient <- colSums(cgradLCMhalfnormlike5C(mleObj$par,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar))
}
mlParam <- if (method %in% c("ucminf", "nlminb")) {
mleObj$par
} else {
if (method == "maxLikAlgo") {
mleObj$estimate
} else {
if (method %in% c("sr1", "sparse")) {
mleObj$solution
} else {
if (method == "mla") {
mleObj$b
}
}
}
}
if (hessianType != 2) {
if (method %in% c("ucminf", "nlminb"))
mleObj$hessian <- chessLCMhalfnormlike5C(parm = mleObj$par,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)
if (method == "sr1")
mleObj$hessian <- chessLCMhalfnormlike5C(parm = mleObj$solution,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)
}
mleObj$logL_OBS <- cLCMhalfnormlike5C(parm = mlParam, nXvar = nXvar,
nuZUvar = nuZUvar, nvZVvar = nvZVvar, uHvar = uHvar,
vHvar = vHvar, Yvar = Yvar, Xvar = Xvar, S = S, wHvar = wHvar,
Zvar = Zvar, nZHvar = nZHvar)
mleObj$gradL_OBS <- cgradLCMhalfnormlike5C(parm = mlParam,
nXvar = nXvar, nuZUvar = nuZUvar, nvZVvar = nvZVvar,
uHvar = uHvar, vHvar = vHvar, Yvar = Yvar, Xvar = Xvar,
S = S, wHvar = wHvar, Zvar = Zvar, nZHvar = nZHvar)
return(list(startVal = startVal, startLoglik = startLoglik,
mleObj = mleObj, mlParam = mlParam, if (is.null(start)) initHalf = initHalf))
}
# Posterior probabilities and efficiencies ----------
#' post. prob. and efficiencies for lcmcross 5 classes halfnormal-normal distribution
#' @param object object of class lcmcross
#' @param level level for confidence interval
#' @noRd
cLCM5Chalfnormeff <- function(object, level) {
beta1 <- object$mlParam[1:(object$nXvar)]
delta1 <- object$mlParam[(object$nXvar + 1):(object$nXvar +
object$nuZUvar)]
phi1 <- object$mlParam[(object$nXvar + object$nuZUvar + 1):(object$nXvar +
object$nuZUvar + object$nvZVvar)]
beta2 <- object$mlParam[(object$nXvar + object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + object$nuZUvar +
object$nvZVvar)]
delta2 <- object$mlParam[(2 * object$nXvar + object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + 2 * object$nuZUvar +
object$nvZVvar)]
phi2 <- object$mlParam[(2 * object$nXvar + 2 * object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar)]
beta3 <- object$mlParam[(2 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar)]
delta3 <- object$mlParam[(3 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 3 * object$nuZUvar +
2 * object$nvZVvar)]
phi3 <- object$mlParam[(3 * object$nXvar + 3 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar)]
beta4 <- object$mlParam[(3 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar)]
delta4 <- object$mlParam[(4 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 4 * object$nuZUvar +
3 * object$nvZVvar)]
phi4 <- object$mlParam[(4 * object$nXvar + 4 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar)]
beta5 <- object$mlParam[(4 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar)]
delta5 <- object$mlParam[(5 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
4 * object$nvZVvar)]
phi5 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar)]
theta1 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + object$nZHvar)]
theta2 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 2 * object$nZHvar)]
theta3 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 2 * object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 3 * object$nZHvar)]
theta4 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 3 * object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 4 * object$nZHvar)]
Xvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 1)
uHvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 2)
vHvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 3)
Zvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 4)
Wu1 <- as.numeric(crossprod(matrix(delta1), t(uHvar)))
Wu2 <- as.numeric(crossprod(matrix(delta2), t(uHvar)))
Wu3 <- as.numeric(crossprod(matrix(delta3), t(uHvar)))
Wu4 <- as.numeric(crossprod(matrix(delta4), t(uHvar)))
Wu5 <- as.numeric(crossprod(matrix(delta5), t(uHvar)))
Wv1 <- as.numeric(crossprod(matrix(phi1), t(vHvar)))
Wv2 <- as.numeric(crossprod(matrix(phi2), t(vHvar)))
Wv3 <- as.numeric(crossprod(matrix(phi3), t(vHvar)))
Wv4 <- as.numeric(crossprod(matrix(phi4), t(vHvar)))
Wv5 <- as.numeric(crossprod(matrix(phi5), t(vHvar)))
Wz1 <- as.numeric(crossprod(matrix(theta1), t(Zvar)))
Wz2 <- as.numeric(crossprod(matrix(theta2), t(Zvar)))
Wz3 <- as.numeric(crossprod(matrix(theta3), t(Zvar)))
Wz4 <- as.numeric(crossprod(matrix(theta4), t(Zvar)))
epsilon1 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta1), t(Xvar)))
epsilon2 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta2), t(Xvar)))
epsilon3 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta3), t(Xvar)))
epsilon4 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta4), t(Xvar)))
epsilon5 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta5), t(Xvar)))
mustar1 <- -exp(Wu1) * object$S * epsilon1/(exp(Wu1) + exp(Wv1))
sigmastar1 <- sqrt(exp(Wu1) * exp(Wv1)/(exp(Wu1) + exp(Wv1)))
mustar2 <- -exp(Wu2) * object$S * epsilon2/(exp(Wu2) + exp(Wv2))
sigmastar2 <- sqrt(exp(Wu2) * exp(Wv2)/(exp(Wu2) + exp(Wv2)))
mustar3 <- -exp(Wu3) * object$S * epsilon3/(exp(Wu3) + exp(Wv3))
sigmastar3 <- sqrt(exp(Wu3) * exp(Wv3)/(exp(Wu3) + exp(Wv3)))
mustar4 <- -exp(Wu4) * object$S * epsilon4/(exp(Wu4) + exp(Wv4))
sigmastar4 <- sqrt(exp(Wu4) * exp(Wv4)/(exp(Wu4) + exp(Wv4)))
mustar5 <- -exp(Wu5) * object$S * epsilon5/(exp(Wu5) + exp(Wv5))
sigmastar5 <- sqrt(exp(Wu5) * exp(Wv5)/(exp(Wu5) + exp(Wv5)))
Pi1 <- 2/sqrt(exp(Wu1) + exp(Wv1)) * dnorm(object$S * epsilon1/sqrt(exp(Wu1) +
exp(Wv1))) * pnorm(mustar1/sigmastar1)
Pi2 <- 2/sqrt(exp(Wu2) + exp(Wv2)) * dnorm(object$S * epsilon2/sqrt(exp(Wu2) +
exp(Wv2))) * pnorm(mustar2/sigmastar2)
Pi3 <- 2/sqrt(exp(Wu3) + exp(Wv3)) * dnorm(object$S * epsilon3/sqrt(exp(Wu3) +
exp(Wv3))) * pnorm(mustar3/sigmastar3)
Pi4 <- 2/sqrt(exp(Wu4) + exp(Wv4)) * dnorm(object$S * epsilon4/sqrt(exp(Wu4) +
exp(Wv4))) * pnorm(mustar4/sigmastar4)
Pi5 <- 2/sqrt(exp(Wu5) + exp(Wv5)) * dnorm(object$S * epsilon5/sqrt(exp(Wu5) +
exp(Wv5))) * pnorm(mustar5/sigmastar5)
Probc1 <- exp(Wz1)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc2 <- exp(Wz2)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc3 <- exp(Wz3)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc4 <- exp(Wz4)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc5 <- 1 - Probc1 - Probc2 - Probc3 - Probc4
Pcond_c1 <- Pi1 * Probc1/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c2 <- Pi2 * Probc2/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c3 <- Pi3 * Probc3/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c4 <- Pi4 * Probc4/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c5 <- Pi5 * Probc5/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Group_c <- apply(cbind(Pcond_c1, Pcond_c2, Pcond_c3, Pcond_c4,
Pcond_c5), 1, which.max)
P_cond_c <- ifelse(Group_c == 1, Pcond_c1, ifelse(Group_c ==
2, Pcond_c2, ifelse(Group_c == 3, Pcond_c3, ifelse(Group_c ==
4, Pcond_c4, Pcond_c5))))
u_c1 <- mustar1 + sigmastar1 * dnorm(mustar1/sigmastar1)/pnorm(mustar1/sigmastar1)
u_c2 <- mustar2 + sigmastar2 * dnorm(mustar2/sigmastar2)/pnorm(mustar2/sigmastar2)
u_c3 <- mustar3 + sigmastar3 * dnorm(mustar3/sigmastar3)/pnorm(mustar3/sigmastar3)
u_c4 <- mustar4 + sigmastar4 * dnorm(mustar4/sigmastar4)/pnorm(mustar4/sigmastar4)
u_c5 <- mustar5 + sigmastar5 * dnorm(mustar5/sigmastar5)/pnorm(mustar5/sigmastar5)
u_c <- ifelse(Group_c == 1, u_c1, ifelse(Group_c == 2, u_c2,
ifelse(Group_c == 3, u_c3, ifelse(Group_c == 4, u_c4,
u_c5))))
ineff_c1 <- ifelse(Group_c == 1, u_c1, NA)
ineff_c2 <- ifelse(Group_c == 2, u_c2, NA)
ineff_c3 <- ifelse(Group_c == 3, u_c3, NA)
ineff_c4 <- ifelse(Group_c == 4, u_c4, NA)
ineff_c5 <- ifelse(Group_c == 5, u_c5, NA)
if (object$logDepVar == TRUE) {
teJLMS_c <- exp(-u_c)
teBC_c1 <- exp(-mustar1 + 1/2 * sigmastar1^2) * pnorm(mustar1/sigmastar1 -
sigmastar1)/pnorm(mustar1/sigmastar1)
teBC_c2 <- exp(-mustar2 + 1/2 * sigmastar2^2) * pnorm(mustar2/sigmastar2 -
sigmastar2)/pnorm(mustar2/sigmastar2)
teBC_c3 <- exp(-mustar3 + 1/2 * sigmastar3^2) * pnorm(mustar3/sigmastar3 -
sigmastar3)/pnorm(mustar3/sigmastar3)
teBC_c4 <- exp(-mustar4 + 1/2 * sigmastar4^2) * pnorm(mustar4/sigmastar4 -
sigmastar4)/pnorm(mustar4/sigmastar4)
teBC_c5 <- exp(-mustar5 + 1/2 * sigmastar5^2) * pnorm(mustar5/sigmastar5 -
sigmastar5)/pnorm(mustar5/sigmastar5)
teBC_c <- ifelse(Group_c == 1, teBC_c1, ifelse(Group_c ==
2, teBC_c2, ifelse(Group_c == 3, teBC_c3, ifelse(Group_c ==
4, teBC_c4, teBC_c5))))
effBC_c1 <- ifelse(Group_c == 1, teBC_c1, NA)
effBC_c2 <- ifelse(Group_c == 2, teBC_c2, NA)
effBC_c3 <- ifelse(Group_c == 3, teBC_c3, NA)
effBC_c4 <- ifelse(Group_c == 4, teBC_c4, NA)
effBC_c5 <- ifelse(Group_c == 5, teBC_c5, NA)
teBC_reciprocal_c1 <- exp(mustar1 + 1/2 * sigmastar1^2) *
pnorm(mustar1/sigmastar1 + sigmastar1)/pnorm(mustar1/sigmastar1)
teBC_reciprocal_c2 <- exp(mustar2 + 1/2 * sigmastar2^2) *
pnorm(mustar2/sigmastar2 + sigmastar2)/pnorm(mustar2/sigmastar2)
teBC_reciprocal_c3 <- exp(mustar3 + 1/2 * sigmastar3^2) *
pnorm(mustar3/sigmastar3 + sigmastar3)/pnorm(mustar3/sigmastar3)
teBC_reciprocal_c4 <- exp(mustar4 + 1/2 * sigmastar4^2) *
pnorm(mustar4/sigmastar4 + sigmastar4)/pnorm(mustar4/sigmastar4)
teBC_reciprocal_c5 <- exp(mustar5 + 1/2 * sigmastar5^2) *
pnorm(mustar5/sigmastar5 + sigmastar5)/pnorm(mustar5/sigmastar5)
teBC_reciprocal_c <- ifelse(Group_c == 1, teBC_reciprocal_c1,
ifelse(Group_c == 2, teBC_reciprocal_c2, ifelse(Group_c ==
3, teBC_reciprocal_c3, ifelse(Group_c == 4, teBC_reciprocal_c4,
teBC_reciprocal_c5))))
ReffBC_c1 <- ifelse(Group_c == 1, teBC_reciprocal_c1,
NA)
ReffBC_c2 <- ifelse(Group_c == 2, teBC_reciprocal_c2,
NA)
ReffBC_c3 <- ifelse(Group_c == 3, teBC_reciprocal_c3,
NA)
ReffBC_c4 <- ifelse(Group_c == 4, teBC_reciprocal_c4,
NA)
ReffBC_c5 <- ifelse(Group_c == 5, teBC_reciprocal_c5,
NA)
res <- data.frame(Group_c = Group_c, PosteriorProb_c = P_cond_c,
u_c = u_c, teJLMS_c = teJLMS_c, teBC_c = teBC_c,
teBC_reciprocal_c = teBC_reciprocal_c, PosteriorProb_c1 = Pcond_c1,
PriorProb_c1 = Probc1, u_c1 = u_c1, teBC_c1 = teBC_c1,
teBC_reciprocal_c1 = teBC_reciprocal_c1, PosteriorProb_c2 = Pcond_c2,
PriorProb_c2 = Probc2, u_c2 = u_c2, teBC_c2 = teBC_c2,
teBC_reciprocal_c2 = teBC_reciprocal_c2, PosteriorProb_c3 = Pcond_c3,
PriorProb_c3 = Probc3, u_c3 = u_c3, teBC_c3 = teBC_c3,
teBC_reciprocal_c3 = teBC_reciprocal_c3, PosteriorProb_c4 = Pcond_c4,
PriorProb_c4 = Probc4, u_c4 = u_c4, teBC_c4 = teBC_c4,
teBC_reciprocal_c4 = teBC_reciprocal_c4, PosteriorProb_c5 = Pcond_c5,
PriorProb_c5 = Probc5, u_c5 = u_c5, teBC_c5 = teBC_c5,
teBC_reciprocal_c5 = teBC_reciprocal_c5, ineff_c1 = ineff_c1,
ineff_c2 = ineff_c2, ineff_c3 = ineff_c3, ineff_c4 = ineff_c4,
ineff_c5 = ineff_c5, effBC_c1 = effBC_c1, effBC_c2 = effBC_c2,
effBC_c3 = effBC_c3, effBC_c4 = effBC_c4, effBC_c5 = effBC_c5,
ReffBC_c1 = ReffBC_c1, ReffBC_c2 = ReffBC_c2, ReffBC_c3 = ReffBC_c3,
ReffBC_c4 = ReffBC_c4, ReffBC_c5 = ReffBC_c5)
} else {
res <- data.frame(Group_c = Group_c, PosteriorProb_c = P_cond_c,
u_c = u_c, PosteriorProb_c1 = Pcond_c1, PriorProb_c1 = Probc1,
u_c1 = u_c1, PosteriorProb_c2 = Pcond_c2, PriorProb_c2 = Probc2,
u_c2 = u_c2, PosteriorProb_c3 = Pcond_c3, PriorProb_c3 = Probc3,
u_c3 = u_c3, PosteriorProb_c4 = Pcond_c4, PriorProb_c4 = Probc4,
u_c4 = u_c4, PosteriorProb_c5 = Pcond_c5, PriorProb_c5 = Probc5,
u_c5 = u_c5, ineff_c1 = ineff_c1, ineff_c2 = ineff_c2,
ineff_c3 = ineff_c3, ineff_c4 = ineff_c4, ineff_c5 = ineff_c5)
}
return(res)
}
# Marginal effects on inefficiencies ----------
#' marginal effects for for lcmcross 5 classes halfnormal-normal distribution
#' @param object object of class lcmcross
#' @noRd
cmargLCM5Chalfnorm_Eu <- function(object) {
beta1 <- object$mlParam[1:(object$nXvar)]
delta1 <- object$mlParam[(object$nXvar + 1):(object$nXvar +
object$nuZUvar)]
phi1 <- object$mlParam[(object$nXvar + object$nuZUvar + 1):(object$nXvar +
object$nuZUvar + object$nvZVvar)]
beta2 <- object$mlParam[(object$nXvar + object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + object$nuZUvar +
object$nvZVvar)]
delta2 <- object$mlParam[(2 * object$nXvar + object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + 2 * object$nuZUvar +
object$nvZVvar)]
phi2 <- object$mlParam[(2 * object$nXvar + 2 * object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar)]
beta3 <- object$mlParam[(2 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar)]
delta3 <- object$mlParam[(3 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 3 * object$nuZUvar +
2 * object$nvZVvar)]
phi3 <- object$mlParam[(3 * object$nXvar + 3 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar)]
beta4 <- object$mlParam[(3 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar)]
delta4 <- object$mlParam[(4 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 4 * object$nuZUvar +
3 * object$nvZVvar)]
phi4 <- object$mlParam[(4 * object$nXvar + 4 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar)]
beta5 <- object$mlParam[(4 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar)]
delta5 <- object$mlParam[(5 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
4 * object$nvZVvar)]
phi5 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar)]
theta1 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + object$nZHvar)]
theta2 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 2 * object$nZHvar)]
theta3 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 2 * object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 3 * object$nZHvar)]
theta4 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 3 * object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 4 * object$nZHvar)]
Xvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 1)
uHvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 2)
vHvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 3)
Zvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 4)
Wu1 <- as.numeric(crossprod(matrix(delta1), t(uHvar)))
Wu2 <- as.numeric(crossprod(matrix(delta2), t(uHvar)))
Wu3 <- as.numeric(crossprod(matrix(delta3), t(uHvar)))
Wu4 <- as.numeric(crossprod(matrix(delta4), t(uHvar)))
Wu5 <- as.numeric(crossprod(matrix(delta5), t(uHvar)))
Wv1 <- as.numeric(crossprod(matrix(phi1), t(vHvar)))
Wv2 <- as.numeric(crossprod(matrix(phi2), t(vHvar)))
Wv3 <- as.numeric(crossprod(matrix(phi3), t(vHvar)))
Wv4 <- as.numeric(crossprod(matrix(phi4), t(vHvar)))
Wv5 <- as.numeric(crossprod(matrix(phi5), t(vHvar)))
Wz1 <- as.numeric(crossprod(matrix(theta1), t(Zvar)))
Wz2 <- as.numeric(crossprod(matrix(theta2), t(Zvar)))
Wz3 <- as.numeric(crossprod(matrix(theta3), t(Zvar)))
Wz4 <- as.numeric(crossprod(matrix(theta4), t(Zvar)))
epsilon1 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta1), t(Xvar)))
epsilon2 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta2), t(Xvar)))
epsilon3 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta3), t(Xvar)))
epsilon4 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta4), t(Xvar)))
epsilon5 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta5), t(Xvar)))
mustar1 <- -exp(Wu1) * object$S * epsilon1/(exp(Wu1) + exp(Wv1))
sigmastar1 <- sqrt(exp(Wu1) * exp(Wv1)/(exp(Wu1) + exp(Wv1)))
mustar2 <- -exp(Wu2) * object$S * epsilon2/(exp(Wu2) + exp(Wv2))
sigmastar2 <- sqrt(exp(Wu2) * exp(Wv2)/(exp(Wu2) + exp(Wv2)))
mustar3 <- -exp(Wu3) * object$S * epsilon3/(exp(Wu3) + exp(Wv3))
sigmastar3 <- sqrt(exp(Wu3) * exp(Wv3)/(exp(Wu3) + exp(Wv3)))
mustar4 <- -exp(Wu4) * object$S * epsilon4/(exp(Wu4) + exp(Wv4))
sigmastar4 <- sqrt(exp(Wu4) * exp(Wv4)/(exp(Wu4) + exp(Wv4)))
mustar5 <- -exp(Wu5) * object$S * epsilon5/(exp(Wu5) + exp(Wv5))
sigmastar5 <- sqrt(exp(Wu5) * exp(Wv5)/(exp(Wu5) + exp(Wv5)))
Pi1 <- 2/sqrt(exp(Wu1) + exp(Wv1)) * dnorm(object$S * epsilon1/sqrt(exp(Wu1) +
exp(Wv1))) * pnorm(mustar1/sigmastar1)
Pi2 <- 2/sqrt(exp(Wu2) + exp(Wv2)) * dnorm(object$S * epsilon2/sqrt(exp(Wu2) +
exp(Wv2))) * pnorm(mustar2/sigmastar2)
Pi3 <- 2/sqrt(exp(Wu3) + exp(Wv3)) * dnorm(object$S * epsilon3/sqrt(exp(Wu3) +
exp(Wv3))) * pnorm(mustar3/sigmastar3)
Pi4 <- 2/sqrt(exp(Wu4) + exp(Wv4)) * dnorm(object$S * epsilon4/sqrt(exp(Wu4) +
exp(Wv4))) * pnorm(mustar4/sigmastar4)
Pi5 <- 2/sqrt(exp(Wu5) + exp(Wv5)) * dnorm(object$S * epsilon5/sqrt(exp(Wu5) +
exp(Wv5))) * pnorm(mustar5/sigmastar5)
Probc1 <- exp(Wz1)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc2 <- exp(Wz2)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc3 <- exp(Wz3)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc4 <- exp(Wz4)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc5 <- 1 - Probc1 - Probc2 - Probc3 - Probc4
Pcond_c1 <- Pi1 * Probc1/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c2 <- Pi2 * Probc2/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c3 <- Pi3 * Probc3/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c4 <- Pi4 * Probc4/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c5 <- Pi5 * Probc5/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Group_c <- apply(cbind(Pcond_c1, Pcond_c2, Pcond_c3, Pcond_c4,
Pcond_c5), 1, which.max)
margEff_c1 <- kronecker(matrix(delta1[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu1/2) * dnorm(0), ncol = 1))
colnames(margEff_c1) <- paste0("Eu_", colnames(uHvar)[-1],
"_c1")
margEff_c2 <- kronecker(matrix(delta2[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu2/2) * dnorm(0), ncol = 1))
colnames(margEff_c2) <- paste0("Eu_", colnames(uHvar)[-1],
"_c2")
margEff_c3 <- kronecker(matrix(delta3[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu3/2) * dnorm(0), ncol = 1))
colnames(margEff_c3) <- paste0("Eu_", colnames(uHvar)[-1],
"_c3")
margEff_c4 <- kronecker(matrix(delta4[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu4/2) * dnorm(0), ncol = 1))
colnames(margEff_c4) <- paste0("Eu_", colnames(uHvar)[-1],
"_c4")
margEff_c5 <- kronecker(matrix(delta5[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu5/2) * dnorm(0), ncol = 1))
colnames(margEff_c5) <- paste0("Eu_", colnames(uHvar)[-1],
"_c5")
margEff_c <- matrix(nrow = nrow(margEff_c1), ncol = ncol(margEff_c1))
for (c in seq_len(ncol(margEff_c1))) {
margEff_c[, c] <- ifelse(Group_c == 1, margEff_c1[, c],
ifelse(Group_c == 2, margEff_c2[, c], ifelse(Group_c ==
3, margEff_c3[, c], ifelse(Group_c == 4, margEff_c4[,
c], margEff_c5[, c]))))
}
colnames(margEff_c) <- paste0("Eu_", colnames(uHvar)[-1],
"_c")
margEff <- data.frame(margEff_c, margEff_c1, margEff_c2,
margEff_c3, margEff_c4, margEff_c5)
return(margEff)
}
cmargLCM5Chalfnorm_Vu <- function(object) {
beta1 <- object$mlParam[1:(object$nXvar)]
delta1 <- object$mlParam[(object$nXvar + 1):(object$nXvar +
object$nuZUvar)]
phi1 <- object$mlParam[(object$nXvar + object$nuZUvar + 1):(object$nXvar +
object$nuZUvar + object$nvZVvar)]
beta2 <- object$mlParam[(object$nXvar + object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + object$nuZUvar +
object$nvZVvar)]
delta2 <- object$mlParam[(2 * object$nXvar + object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + 2 * object$nuZUvar +
object$nvZVvar)]
phi2 <- object$mlParam[(2 * object$nXvar + 2 * object$nuZUvar +
object$nvZVvar + 1):(2 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar)]
beta3 <- object$mlParam[(2 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar)]
delta3 <- object$mlParam[(3 * object$nXvar + 2 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 3 * object$nuZUvar +
2 * object$nvZVvar)]
phi3 <- object$mlParam[(3 * object$nXvar + 3 * object$nuZUvar +
2 * object$nvZVvar + 1):(3 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar)]
beta4 <- object$mlParam[(3 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar)]
delta4 <- object$mlParam[(4 * object$nXvar + 3 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 4 * object$nuZUvar +
3 * object$nvZVvar)]
phi4 <- object$mlParam[(4 * object$nXvar + 4 * object$nuZUvar +
3 * object$nvZVvar + 1):(4 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar)]
beta5 <- object$mlParam[(4 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar)]
delta5 <- object$mlParam[(5 * object$nXvar + 4 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
4 * object$nvZVvar)]
phi5 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
4 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar)]
theta1 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 1):(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + object$nZHvar)]
theta2 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 2 * object$nZHvar)]
theta3 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 2 * object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 3 * object$nZHvar)]
theta4 <- object$mlParam[(5 * object$nXvar + 5 * object$nuZUvar +
5 * object$nvZVvar + 3 * object$nZHvar + 1):(5 * object$nXvar +
5 * object$nuZUvar + 5 * object$nvZVvar + 4 * object$nZHvar)]
Xvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 1)
uHvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 2)
vHvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 3)
Zvar <- model.matrix(object$formula, data = object$dataTable,
rhs = 4)
Wu1 <- as.numeric(crossprod(matrix(delta1), t(uHvar)))
Wu2 <- as.numeric(crossprod(matrix(delta2), t(uHvar)))
Wu3 <- as.numeric(crossprod(matrix(delta3), t(uHvar)))
Wu4 <- as.numeric(crossprod(matrix(delta4), t(uHvar)))
Wu5 <- as.numeric(crossprod(matrix(delta5), t(uHvar)))
Wv1 <- as.numeric(crossprod(matrix(phi1), t(vHvar)))
Wv2 <- as.numeric(crossprod(matrix(phi2), t(vHvar)))
Wv3 <- as.numeric(crossprod(matrix(phi3), t(vHvar)))
Wv4 <- as.numeric(crossprod(matrix(phi4), t(vHvar)))
Wv5 <- as.numeric(crossprod(matrix(phi5), t(vHvar)))
Wz1 <- as.numeric(crossprod(matrix(theta1), t(Zvar)))
Wz2 <- as.numeric(crossprod(matrix(theta2), t(Zvar)))
Wz3 <- as.numeric(crossprod(matrix(theta3), t(Zvar)))
Wz4 <- as.numeric(crossprod(matrix(theta4), t(Zvar)))
epsilon1 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta1), t(Xvar)))
epsilon2 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta2), t(Xvar)))
epsilon3 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta3), t(Xvar)))
epsilon4 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta4), t(Xvar)))
epsilon5 <- model.response(model.frame(object$formula, data = object$dataTable)) -
as.numeric(crossprod(matrix(beta5), t(Xvar)))
mustar1 <- -exp(Wu1) * object$S * epsilon1/(exp(Wu1) + exp(Wv1))
sigmastar1 <- sqrt(exp(Wu1) * exp(Wv1)/(exp(Wu1) + exp(Wv1)))
mustar2 <- -exp(Wu2) * object$S * epsilon2/(exp(Wu2) + exp(Wv2))
sigmastar2 <- sqrt(exp(Wu2) * exp(Wv2)/(exp(Wu2) + exp(Wv2)))
mustar3 <- -exp(Wu3) * object$S * epsilon3/(exp(Wu3) + exp(Wv3))
sigmastar3 <- sqrt(exp(Wu3) * exp(Wv3)/(exp(Wu3) + exp(Wv3)))
mustar4 <- -exp(Wu4) * object$S * epsilon4/(exp(Wu4) + exp(Wv4))
sigmastar4 <- sqrt(exp(Wu4) * exp(Wv4)/(exp(Wu4) + exp(Wv4)))
mustar5 <- -exp(Wu5) * object$S * epsilon5/(exp(Wu5) + exp(Wv5))
sigmastar5 <- sqrt(exp(Wu5) * exp(Wv5)/(exp(Wu5) + exp(Wv5)))
Pi1 <- 2/sqrt(exp(Wu1) + exp(Wv1)) * dnorm(object$S * epsilon1/sqrt(exp(Wu1) +
exp(Wv1))) * pnorm(mustar1/sigmastar1)
Pi2 <- 2/sqrt(exp(Wu2) + exp(Wv2)) * dnorm(object$S * epsilon2/sqrt(exp(Wu2) +
exp(Wv2))) * pnorm(mustar2/sigmastar2)
Pi3 <- 2/sqrt(exp(Wu3) + exp(Wv3)) * dnorm(object$S * epsilon3/sqrt(exp(Wu3) +
exp(Wv3))) * pnorm(mustar3/sigmastar3)
Pi4 <- 2/sqrt(exp(Wu4) + exp(Wv4)) * dnorm(object$S * epsilon4/sqrt(exp(Wu4) +
exp(Wv4))) * pnorm(mustar4/sigmastar4)
Pi5 <- 2/sqrt(exp(Wu5) + exp(Wv5)) * dnorm(object$S * epsilon5/sqrt(exp(Wu5) +
exp(Wv5))) * pnorm(mustar5/sigmastar5)
Probc1 <- exp(Wz1)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc2 <- exp(Wz2)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc3 <- exp(Wz3)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc4 <- exp(Wz4)/(1 + exp(Wz1) + exp(Wz2) + exp(Wz3) +
exp(Wz4))
Probc5 <- 1 - Probc1 - Probc2 - Probc3 - Probc4
Pcond_c1 <- Pi1 * Probc1/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c2 <- Pi2 * Probc2/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c3 <- Pi3 * Probc3/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c4 <- Pi4 * Probc4/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Pcond_c5 <- Pi5 * Probc5/(Pi1 * Probc1 + Pi2 * Probc2 + Pi3 *
Probc3 + Pi4 * Probc4 + Pi5 * Probc5)
Group_c <- apply(cbind(Pcond_c1, Pcond_c2, Pcond_c3, Pcond_c4,
Pcond_c5), 1, which.max)
margEff_c1 <- kronecker(matrix(delta1[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu1) * (1 - (dnorm(0)/pnorm(0))^2),
ncol = 1))
colnames(margEff_c1) <- paste0("Vu_", colnames(uHvar)[-1],
"_c1")
margEff_c2 <- kronecker(matrix(delta2[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu2) * (1 - (dnorm(0)/pnorm(0))^2),
ncol = 1))
colnames(margEff_c2) <- paste0("Vu_", colnames(uHvar)[-1],
"_c2")
margEff_c3 <- kronecker(matrix(delta3[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu3) * (1 - (dnorm(0)/pnorm(0))^2),
ncol = 1))
colnames(margEff_c3) <- paste0("Vu_", colnames(uHvar)[-1],
"_c3")
margEff_c4 <- kronecker(matrix(delta4[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu4) * (1 - (dnorm(0)/pnorm(0))^2),
ncol = 1))
colnames(margEff_c4) <- paste0("Vu_", colnames(uHvar)[-1],
"_c4")
margEff_c5 <- kronecker(matrix(delta5[2:object$nuZUvar],
nrow = 1), matrix(exp(Wu5) * (1 - (dnorm(0)/pnorm(0))^2),
ncol = 1))
colnames(margEff_c5) <- paste0("Vu_", colnames(uHvar)[-1],
"_c5")
margEff_c <- matrix(nrow = nrow(margEff_c1), ncol = ncol(margEff_c1))
for (c in seq_len(ncol(margEff_c1))) {
margEff_c[, c] <- ifelse(Group_c == 1, margEff_c1[, c],
ifelse(Group_c == 2, margEff_c2[, c], ifelse(Group_c ==
3, margEff_c3[, c], ifelse(Group_c == 4, margEff_c4[,
c], margEff_c5[, c]))))
}
colnames(margEff_c) <- paste0("Vu_", colnames(uHvar)[-1],
"_c")
margEff <- data.frame(margEff_c, margEff_c1, margEff_c2,
margEff_c3, margEff_c4, margEff_c5)
return(margEff)
}
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