getFitFig: Helper Function to Generate Visualization for a Fitted Model

Description

This is an internal function that generates a ggplot object for a fitted model. It is called by the getFigure function.

Usage

getFitFig(
  model,
  nClass,
  cluster_TIC,
  grp_var,
  sub_Model,
  t_var,
  records,
  y_var,
  curveFun,
  y_model,
  xstarts,
  xlab,
  outcome
)

Value

A ggplot object or a list of ggplot objects.

Arguments

model: A fitted mxModel object. This is the output from one of the estimation functions in this package. It takes value passed from getFigure().
nClass: An integer specifying the number of classes for the mixture model or multiple group model. It takes value passed from getFigure().
cluster_TIC: A string or character vector representing the column name(s) for time-invariant covariate(s) indicating cluster formations. It takes value passed from getFigure().
grp_var: A string specifying the column that indicates manifested classes when applicable. It takes the value passed from getFigure().
sub_Model: A string that specifies the sub-model for latent classes. Supported sub-models include "LGCM" (for latent growth curve models), "LCSM" (for latent change score models), "TVC" (for latent growth curve models or latent change score models with a time-varying covariate), "MGM" (for multivariate latent growth curve models or latent change score models), and "MED" (for longitudinal mediation models). It takes value passed from getFigure().
t_var: A string representing the prefix of the column names corresponding to the time variable at each study wave. It takes value passed from getFigure().
records: A numeric vector representing the indices of the study waves. It takes value passed from getFigure().
y_var: A string or character vector representing the prefix of the column names for the outcome variable(s) at each study wave. It takes value passed from getFigure().
curveFun: A string specifying the functional form of the growth curve. Supported options for y_model = "LGCM" include: "linear" (or "LIN"), "quadratic" (or "QUAD"), "negative exponential" (or "EXP"), "Jenss-Bayley" (or "JB"), and "bilinear spline" (or "BLS"). Supported options for y_model = "LCSM" include: "quadratic" (or "QUAD"), "negative exponential" (or "EXP"), "Jenss-Bayley" (or "JB"), and "nonparametric" (or "NonP"). It takes value passed from getFigure().
y_model: A string that specifies how to fit longitudinal outcomes. Supported values are "LGCM" and "LCSM". It takes value passed from getFigure().
xstarts: A numeric value to indicate the starting time of the longitudinal process. It takes value passed from getFigure().
xlab: A string representing the time unit (e.g., "Week", "Month", or "Year") for the x-axis. Default is "Time". It takes value passed from getFigure().
outcome: A string or character vector representing the name(s) of the longitudinal process(es) under examination. It takes value passed from getFigure().