Nothing
getLoglikeSF <- function(beta, tau, gamma1, alpha1, vee1, H01, Sig, Z, X1, W, Y,
X2, survtime, cmprsk, mdata, mdataS, xsmatrix, wsmatrix, method, initial.optimizer) {
n <- nrow(X2)
p1a <- ncol(Z)
nsig <- p1a + 1
CUH01 <- rep(0, n)
HAZ01 <- rep(0, n)
CumuH01 <- cumsum(H01[, 3])
getHazardSF(CumuH01, survtime, cmprsk, H01, CUH01, HAZ01)
if (method == "standard") {
status = getloglikeCSF(beta, tau, gamma1, alpha1, vee1, Sig, Z, X1, W, Y, X2,
survtime, cmprsk, mdata, mdataS, xsmatrix, wsmatrix,
CUH01, HAZ01)
} else {
posterior.mode <- matrix(0, nrow = n, ncol = nsig)
posterior.var <- matrix(0, nrow = nsig*n, ncol = nsig)
for (i in 1:n) {
if (i != n) {
subY <- Y[mdataS[i]:(mdataS[i+1]-1)]
subW <- matrix(W[mdataS[i]:(mdataS[i+1]-1), ], ncol = ncol(W))
subX1 <- matrix(X1[mdataS[i]:(mdataS[i+1]-1), ], ncol = ncol(X1))
subZ <- matrix(Z[mdataS[i]:(mdataS[i+1]-1), ], ncol = ncol(Z))
} else {
subY <- Y[mdataS[i]:length(Y)]
subW <- matrix(W[mdataS[i]:length(Y), ], ncol = ncol(W))
subX1 <- matrix(X1[mdataS[i]:length(Y), ], ncol = ncol(X1))
subZ <- matrix(Z[mdataS[i]:length(Y), ], ncol = ncol(Z))
}
CH001 <- CUH01[i]
HAZ001 <- HAZ01[i]
data <- list(subY, subX1, subZ, subW, t(as.matrix(X2[i, ])), CH001,
HAZ001, beta, tau, gamma1, alpha1, vee1, Sig, cmprsk[i])
names(data) <- c("Y", "X", "Z", "W", "X2", "CH01", "HAZ01", "beta", "tau",
"gamma1", "alpha1", "nu1", "Sig", "D")
opt <- optim(rep(0, nsig), logLik.learn, data = data, method = initial.optimizer, hessian = TRUE)
posterior.mode[i, ] <- opt$par
posterior.var[(nsig*(i-1) + 1):(i * nsig), 1:nsig] <- solve(opt$hessian)
}
status = getloglikeCSFad(beta, tau, gamma1, alpha1, vee1,
Sig, Z, X1, W, Y, X2, survtime, cmprsk,
mdata, mdataS, xsmatrix, wsmatrix,
CUH01, HAZ01, posterior.mode, posterior.var)
}
return(status)
}
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