getTVC.output: Extract Point Estimates And Standard Errors of Latent Growth Curve Model Or Latent Change Score Model with a Time-varying Covariate and Time-invariant Covariates (If Any)

Description

This function computes and returns a data frame containing point estimates and standard errors for the parameters of a latent growth curve model or a latent change score model with a time-varying covariate and time-invariant covariates (if any)

Usage

getTVC.output(model, curveFun, records, y_model, decompose, growth_TIC, names)

Value

A data frame containing the point estimates and standard errors for parameters of a latent growth curve model or a latent change score model with a time-varying covariate and time-invariant covariates (if any).

Arguments

model: An object representing a fitted latent growth curve model or a latent change score model with a TVC. It takes the value passed from getTVCmodel().
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 the value passed from getTVCmodel().
records: A numeric vector specifying the indices of the observed study waves. It takes the value passed from getTVCmodel().
y_model: A string specifying how to fit the longitudinal outcome. Supported values are "LGCM" and "LCSM". It takes the value passed from getTVCmodel().
decompose: An integer specifying the decomposition option for temporal states. Supported values include 0 (no decomposition), 1 (decomposition with interval-specific slopes as temporal states), 2 (decomposition with interval- specific changes as temporal states), and 3 (decomposition with change-from-baseline as temporal states). It takes the value passed from getTVCmodel().
growth_TIC: A string or character vector specifying the column name(s) of time-invariant covariate(s) that account for the variability of growth factors, if any. It takes the value passed from getTVCmodel().
names: A character vector specifying parameter names. It takes the value passed from getTVCmodel().