getMIX_MULTI.loadings: Get Factor Loadings for a Mixture Model with MGM as Submodels

In nlpsem: Linear and Nonlinear Longitudinal Process in Structural Equation Modeling Framework

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.

Usage

getMIX_MULTI.loadings(
  nClass,
  y_model,
  t_var,
  y_var,
  curveFun,
  intrinsic = NULL,
  records
)

Arguments

nClass	A numeric value to indicate the number of latent classes.
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()'.
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()'.
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()'.
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()'.
intrinsic	A boolean flag for whether an intrinsically nonlinear longitudinal model is built up. It takes the value passed from 'getMIX()'.
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()'.

Value

A list containing the specification of definition variables (i.e., individual measurement occasions) and factor loadings of multivariate longitudinal outcomes.

nlpsem documentation built on Sept. 13, 2023, 1:06 a.m.