getLGCM.mxModel: Construct An Object of mxModel for Latent Growth Curve Model...

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

Construct An Object of mxModel for Latent Growth Curve Model with Time-invariant Covariates (If Any) To Be Evaluated

Description

his function builds up an object of mxModel for a latent growth curve model with user-specified functional form (including whether intrinsically nonlinear) with time-invariant covariates (if any).

Usage

getLGCM.mxModel(
  dat,
  t_var,
  y_var,
  curveFun,
  intrinsic,
  records,
  growth_TIC,
  starts
)

Arguments

dat	A wide-format data frame, with each row corresponding to a unique ID. It contains the observed variables with repeated measurements and occasions, and time-invariant covariates (TICs) if any. It takes the value passed from getLGCM().
t_var	A string specifying the prefix of the column names corresponding to the time variable at each study wave. It takes the value passed from getLGCM().
y_var	A string specifying the prefix of the column names corresponding to the outcome variable at each study wave. It takes the value passed from getLGCM().
curveFun	A string specifying the functional form of the growth curve. Supported options for latent growth curve models are: "linear" (or "LIN"), "quadratic" (or "QUAD"), "negative exponential" (or "EXP"), "Jenss-Bayley" (or "JB"), and "bilinear spline" (or "BLS"). It takes the value passed from getLGCM().
intrinsic	A logical flag indicating whether to build an intrinsically nonlinear longitudinal model. It takes the value passed from getLGCM().
records	A numeric vector specifying indices of the study waves. It takes the value passed from getLGCM().
growth_TIC	A string or character vector specifying the column name(s) of time-invariant covariate(s) contributing to the variability of growth factors if any. It takes the value passed from getLGCM().
starts	A list containing initial values for the free parameters, either takes the value passed from getLGCM() or derived by the helper function getUNI.initial().

Value

A pre-optimized mxModel for a Latent Growth Curve Model.

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