library(LMMELSM)
set.seed(13)
# Settings
n <- 50
K <- 100
J <- 12
F <- 2
P <- 2
P_random <- 1
Q <- 2
Q_random <- 1
R <- 1
fac1_loadings <- c(rep(.6, J/2), rep(0, J/2))
fac2_loadings <- c(rep(0, J/2), rep(.8, J/2))
lambda <- rbind(fac1_loadings, fac2_loadings)
resid <- rep(.8, J)
nu <- rep(0, J)
mu_beta <- matrix(c(.6, -.6,
-.8, .8), ncol = F, byrow = TRUE)
logsd_beta <- matrix(c(-.6, .6,
.8, -.8), ncol = F, byrow = TRUE)
zeta <- matrix(c(0, .4, 0, .5, rep(0, F*P_random + F*Q_random)), nrow = 1)
re_sigmas <- rep(.4, 2*F + F*P_random + F*Q_random)
re_cor <- rethinking::rlkjcorr(1, 2*F + F*P_random + F*Q_random)
group <- rep(1:K, each = n)
X_l2 <- rnorm(K)
X_l1_loc <- rnorm(n*K)
X_l1_sca <- rnorm(n*K)
X_bet <- matrix(X_l2[group], ncol = 1)
X_loc <- cbind(X_l1_loc, X_bet)
X_sca <- cbind(X_l1_sca, X_bet)
factor_cor <- matrix(c(1, -.5, -.5, 1), F, F)
d <- LMMELSM:::simulate_lmmelsm(n,
K,
lambda,
resid,
nu,
mu_beta,
logsd_beta,
1,
1,
re_cor,
re_sigmas,
factor_cor,
zeta,
X_loc,
X_sca,
X_bet,
FALSE
)
sim_data <- d$df
names(sim_data)[1:J] <- c(paste0("A_", 1:(J/2)), paste0("N_", 1:(J/2)))
names(sim_data)[14:16] <- c("x1", "baseline", "x2")
sim_data[c(17:18)] <- NULL
sim_data <- sim_data[, c("subject","baseline","x1","x2",paste0("A_",1:(J/2)), paste0("N_",1:(J/2)))]
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