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#' @title Get Factor Loadings for a Mixture Model with MGM as Submodels
#'
#' @description This function specifies the factor loadings for a mixture model with MGM as submodels. The longitudinal outcomes are fit
#' by Latent Growth Curve Models or a Latent Change Score Models.
#'
#' @param nClass A numeric value to indicate the number of latent classes.
#' @param y_model A character string specifying how to fit the longitudinal outcome. Supported values are "LGCM" and
#' "LCSM". It takes the value passed from `getMIX()`.
#' @param t_var t_var A character vector where each element represents a prefix for column names corresponding to the
#' time variables for the respective longitudinal process. It takes the value passed from `getMIX()`.
#' @param y_var A character vector where each element represents a prefix for column names corresponding to the outcome
#' variables for the respective longitudinal process. It takes the value passed from `getMIX()`.
#' @param curveFun The specified functional form of the growth curve. Supported options include: "linear" (or "LIN"),
#' "quadratic" (or "QUAD"), "negative exponential" (or "EXP"), "Jenss-Bayley" (or "JB"), "bilinear spline" (or "BLS"),
#' and "nonparametric" (or "NonP"). It takes the value passed from `getMIX()`.
#' @param intrinsic A boolean flag for whether an intrinsically nonlinear longitudinal model is built up. It takes the
#' value passed from `getMIX()`.
#' @param records A list of numeric vectors where each vector contains indices of the observed time points for the
#' respective longitudinal processes. It takes the value passed from `getMIX()`.
#'
#' @return A list containing the specification of definition variables (i.e., individual measurement occasions) and factor
#' loadings of multivariate longitudinal outcomes.
#'
#' @keywords internal
#'
getMIX_MULTI.loadings <- function(nClass, y_model, t_var, y_var, curveFun, intrinsic = NULL, records){
output_CL <- list()
for (k in 1:nClass){
outPoint_L <- outLag_L <- midTime_L <- outLoads_L <- list()
for (traj in 1:length(y_var)){
outPoint <- list()
for (j in records[[traj]]){
outPoint[[j]] <- mxMatrix("Full", 1, 1, free = F, labels = paste0("data.", t_var[traj], j),
name = paste0(y_var[traj], "t", j))
}
outPoint_L[[traj]] <- outPoint
if (y_model == "LGCM"){
if (curveFun %in% c("linear", "LIN")){
outLoads1 <- list()
for (j in records[[traj]]){
outLoads1[[j]] <- mxAlgebraFromString(paste0(y_var[traj], "t", j),
name = paste0("c", k, "L1", j, y_var[traj]))
}
outLoads_L[[traj]] <- list(outLoads1)
}
else if (curveFun %in% c("quadratic", "QUAD")){
outLoads1 <- outLoads2 <- list()
for(j in records[[traj]]){
outLoads1[[j]] <- mxAlgebraFromString(paste0(y_var[traj], "t", j),
name = paste0("c", k, "L1", j, y_var[traj]))
outLoads2[[j]] <- mxAlgebraFromString(paste0(y_var[traj], "t", j, "^2"),
name = paste0("c", k, "L2", j, y_var[traj]))
}
outLoads_L[[traj]] <- list(outLoads1, outLoads2)
}
else if (curveFun %in% c("negative exponential", "EXP")){
if (intrinsic){
outLoads1 <- outLoads2 <- list()
for (j in records[[traj]]){
outLoads1[[j]] <- mxAlgebraFromString(paste0("1 - exp(-c", k, y_var[traj], "_mug",
" * ", y_var[traj], "t", j, ")"),
name = paste0("c", k, "L1", j, y_var[traj]))
outLoads2[[j]] <- mxAlgebraFromString(paste0("c", k, y_var[traj], "_mueta1 * exp(-c", k, y_var[traj], "_mug",
" * ", y_var[traj], "t", j, ") * ", y_var[traj], "t", j),
name = paste0("c", k, "L2", j, y_var[traj]))
}
outLoads_L[[traj]] <- list(outLoads1, outLoads2)
}
else if (!intrinsic){
outLoads1 <- list()
for (j in records[[traj]]){
outLoads1[[j]] <- mxAlgebraFromString(paste0("1 - exp(-c", k, y_var[traj], "_mug",
" * ", y_var[traj], "t", j, ")"),
name = paste0("c", k, "L1", j, y_var[traj]))
}
outLoads_L[[traj]] <- list(outLoads1)
}
}
else if (curveFun %in% c("Jenss-Bayley", "JB")){
if (intrinsic){
outLoads1 <- outLoads2 <- outLoads3 <- list()
for(j in records[[traj]]){
outLoads1[[j]] <- mxAlgebraFromString(paste0(y_var[traj], "t", j),
name = paste0("c", k, "L1", j, y_var[traj]))
outLoads2[[j]] <- mxAlgebraFromString(paste0("exp(c", k, y_var[traj], "_mug * ", y_var[traj], "t", j, ") - 1"),
name = paste0("c", k, "L2", j, y_var[traj]))
outLoads3[[j]] <- mxAlgebraFromString(paste0("c", k, y_var[traj], "_mueta2 * exp(c", k, y_var[traj], "_mug * ",
y_var[traj], "t", j, ") * ", y_var[traj], "t", j),
name = paste0("c", k, "L3", j, y_var[traj]))
}
outLoads_L[[traj]] <- list(outLoads1, outLoads2, outLoads3)
}
else if (!intrinsic){
outLoads1 <- outLoads2 <- list()
for(j in records[[traj]]){
outLoads1[[j]] <- mxAlgebraFromString(paste0(y_var[traj], "t", j),
name = paste0("c", k, "L1", j, y_var[traj]))
outLoads2[[j]] <- mxAlgebraFromString(paste0("exp(c", k, y_var[traj], "_mug * ", y_var[traj], "t", j, ") - 1"),
name = paste0("c", k, "L2", j, y_var[traj]))
}
outLoads_L[[traj]] <- list(outLoads1, outLoads2)
}
}
else if (curveFun %in% c("bilinear spline", "BLS")){
if (intrinsic){
outLoads1 <- outLoads2 <- outLoads3 <- list()
for(j in records[[traj]]){
outLoads1[[j]] <- mxAlgebraFromString(paste0(y_var[traj], "t", j, " - c", k, y_var[traj], "_mug"),
name = paste0("c", k, "L1", j, y_var[traj]))
outLoads2[[j]] <- mxAlgebraFromString(paste0("abs(", y_var[traj], "t", j, " - c", k, y_var[traj], "_mug)"),
name = paste0("c", k, "L2", j, y_var[traj]))
outLoads3[[j]] <- mxAlgebraFromString(paste0("-c", k, y_var[traj], "_mueta2s * (", y_var[traj], "t", j, " - c", k, y_var[traj],
"_mug)/abs(", y_var[traj], "t", j,
" - c", k, y_var[traj], "_mug) - c", k, y_var[traj], "_mueta2s"),
name = paste0("c", k, "L3", j, y_var[traj]))
}
outLoads_L[[traj]] <- list(outLoads1, outLoads2, outLoads3)
}
else if (!intrinsic){
outLoads1 <- outLoads2 <- list()
for(j in records[[traj]]){
outLoads1[[j]] <- mxAlgebraFromString(paste0(y_var[traj], "t", j, " - c", k, y_var[traj], "_mug"),
name = paste0("c", k, "L1", j, y_var[traj]))
outLoads2[[j]] <- mxAlgebraFromString(paste0("abs(", y_var[traj], "t", j, " - c", k, y_var[traj], "_mug)"),
name = paste0("c", k, "L2", j, y_var[traj]))
}
outLoads_L[[traj]] <- list(outLoads1, outLoads2)
}
}
}
else if (y_model == "LCSM"){
outLag <- list()
for(j in records[[traj]][-1]){
outLag[[j]] <- mxAlgebraFromString(paste0(y_var[traj], "t", j , " - ", y_var[traj], "t", j - 1),
name = paste0(y_var[traj], "lag", j))
}
outLag_L[[traj]] <- outLag
# Define `midTime` to store individual midway time point through each interval from raw data
midTime <- list()
midTime[[1]] <- mxAlgebra(0, name = paste0(y_var[traj], "mid_t", 1))
for(j in records[[traj]][-1]){
midTime[[j]] <- mxAlgebraFromString(paste0("(", y_var[traj], "t", j , " + ", y_var[traj], "t", j - 1, ")/2"),
name = paste0(y_var[traj], "mid_t", j))
}
midTime_L[[traj]] <- midTime
if (curveFun %in% c("nonparametric", "NonP")){
outLoads_L[[traj]] <- list()
}
else if (curveFun %in% c("quadratic", "QUAD")){
outLoads2 <- list()
outLoads2[[1]] <- mxAlgebra(0, name = paste0(y_var[traj], "L2", 1))
for(j in records[[traj]][-1]){
outLoads2[[j]] <- mxAlgebraFromString(paste0("2 * ", y_var[traj], "mid_t", j),
name = paste0("c", k, y_var[traj], "L2", j))
}
outLoads_L[[traj]] <- outLoads2
}
else if (curveFun %in% c("negative exponential", "EXP")){
if (intrinsic){
outLoads1 <- outLoads2 <- list()
outLoads1[[1]] <- mxAlgebra(0, name = paste0(y_var[traj], "L1", 1))
outLoads2[[1]] <- mxAlgebra(0, name = paste0(y_var[traj], "L2", 1))
for (j in records[[traj]][-1]){
outLoads1[[j]] <- mxAlgebraFromString(paste0("c", k, y_var[traj], "_mug * exp(-c", k, y_var[traj], "_mug * ", y_var[traj], "mid_t", j, ")"),
name = paste0("c", k, y_var[traj], "L1", j))
outLoads2[[j]] <- mxAlgebraFromString(paste0("c", k, y_var[traj], "_mueta1 * exp(-c", k, y_var[traj], "_mug * ", y_var[traj], "mid_t", j,
") * (1 - c", k, y_var[traj], "_mug * ", y_var[traj], "mid_t", j, ")"),
name = paste0("c", k, y_var[traj], "L2", j))
}
outLoads_L[[traj]] <- list(outLoads1, outLoads2)
}
else if (!intrinsic){
outLoads1 <- list()
outLoads1[[1]] <- mxAlgebra(0, name = paste0(y_var[traj], "L1", 1))
for (j in records[[traj]][-1]){
outLoads1[[j]] <- mxAlgebraFromString(paste0("c", k, y_var[traj], "_mug * exp(-c", k, y_var[traj], "_mug * ", y_var[traj], "mid_t", j, ")"),
name = paste0("c", k, y_var[traj], "L1", j))
}
outLoads_L[[traj]] <- list(outLoads1)
}
}
else if (curveFun %in% c("Jenss-Bayley", "JB")){
if (intrinsic){
outLoads2 <- outLoads3 <- list()
outLoads2[[1]] <- mxAlgebra(0, name = paste0(y_var[traj], "L2", 1))
outLoads3[[1]] <- mxAlgebra(0, name = paste0(y_var[traj], "L3", 1))
for (j in records[[traj]][-1]){
outLoads2[[j]] <- mxAlgebraFromString(paste0("c", k, y_var[traj], "_mug * exp(c", k, y_var[traj], "_mug * ", y_var[traj], "mid_t", j, ")"),
name = paste0("c", k, y_var[traj], "L2", j))
outLoads3[[j]] <- mxAlgebraFromString(paste0("c", k, y_var[traj], "_mueta2 * (1 + c", k, y_var[traj], "_mug * ", y_var[traj], "mid_t", j, ")",
" * exp(c", k, y_var[traj], "_mug * ", y_var[traj], "mid_t", j, ")"),
name = paste0("c", k, y_var[traj], "L3", j))
}
outLoads_L[[traj]] <- list(outLoads2, outLoads3)
}
else if (!intrinsic){
outLoads2 <- list()
outLoads2[[1]] <- mxAlgebra(0, name = paste0(y_var[traj], "L2", 1))
for (j in records[[traj]][-1]){
outLoads2[[j]] <- mxAlgebraFromString(paste0("c", k, y_var[traj], "_mug * exp(c", k, y_var[traj], "_mug * ", y_var[traj], "mid_t", j, ")"),
name = paste0("c", k, y_var[traj], "L2", j))
}
outLoads_L[[traj]] <- list(outLoads2)
}
}
}
}
if (y_model == "LGCM"){
output_CL[[k]] <- list(outPoint_L, outLoads_L)
}
else if (y_model == "LCSM"){
output_CL[[k]] <- list(outPoint_L, outLag_L, midTime_L, outLoads_L)
}
}
return(output_CL)
}
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