This function computes and returns a data frame containing point estimates and standard errors for the parameters of a multivariate latent growth curve model or a multivariate latent change score model.
getMGM.output(model, y_var, records, curveFun, y_model, names)A data frame containing the point estimates and standard errors for parameters of a multivariate latent growth curve model or a multivariate latent change score model.
An object representing a fitted multivariate latent growth curve model or latent change score model.
A vector of strings, with each element representing the prefix for column names corresponding to a
particular outcome variable at each study wave. It takes the value passed from getMGM().
A list of numeric vectors, with each vector specifying the indices of the observed study waves for
the corresponding outcome variable. It takes the value passed from getMGM().
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 getMGM().
A string specifying how to fit the longitudinal outcome. Supported values are "LGCM" and "LCSM".
It takes the value passed from getMGM().
A character vector specifying parameter names. It takes the value passed from getMGM().