getMIX_MULTI.addpara: Get Additional Parameters Related to Interval-specific...

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

Get Additional Parameters Related to Interval-specific Slopes, Interval-specific Changes and Values of Change-from- baseline for Mixture Model with Multivariate Latent Change Score Models as Submodels

Description

This function derives additional parameters for mixture model with multivariate latent change score models as submodels. It specifies the means and variances of interval-specific slopes, interval-specific changes, and values of change-from- baseline.

Usage

getMIX_MULTI.addpara(
  dat,
  nClass,
  t_var,
  records,
  y_var,
  curveFun,
  intrinsic = NULL,
  starts
)

Arguments

dat	Data frame. Contains the observed variables, including repeated measurements and occasions, and covariates if any. It takes the value passed from 'getMIX()'.
nClass	Numeric. Indicates the number of latent classes. It takes the value passed from 'getMIX()'.
t_var	String. Prefix of the column names corresponding to the time variable at each time point. It takes the value passed from 'getMIX()'.
records	Numeric vector. Indices of the observed time points. It takes the value passed from 'getMIX()'.
y_var	String. Prefix of the column names corresponding to the outcome variable at each time point. It takes the value passed from 'getMIX()'.
curveFun	String. The 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	Logical. Whether an intrinsically nonlinear longitudinal model is built up. It takes the value passed from 'getMIX()'.
starts	A list of initial values for free parameters, either takes the value passed from 'getMIX()' or derived by the helper function 'getMIX.initial()'.

Value

A list containing the specification of the means and variances of interval-specific slopes, interval-specific changes, and values of change-from-baseline for a mixture model with multivariate latent change score models as submodels.

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