getMED.output: Extract Point Estimates And Standard Errors of Longitudinal...

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

Extract Point Estimates And Standard Errors of Longitudinal Mediation Model

Description

This function computes and returns a data frame containing point estimates and standard errors for the parameters of a longitudinal mediation model.

Usage

getMED.output(model, y_var, m_var, x_type, x_var, curveFun, names)

Arguments

model	An object representing a fitted longitudinal mediation model.
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 getMediation().
m_var	A string specifying the prefix of the column names corresponding to the mediator variable at each study wave. It takes the value passed from getMediation().
x_type	A string indicating the type of predictor variable used in the model. Supported values are "baseline" and "longitudinal". It takes the value passed from getMediation().
x_var	A string specifying the baseline predictor if x_type = "baseline", or the prefix of the column names corresponding to the predictor variable at each study wave if x_type = "longitudinal". It takes the value passed from getMediation().
curveFun	A string specifying the functional form of the growth curve. Supported options include: "linear" (or "LIN"), and "bilinear spline" (or "BLS"). It takes the value passed from getMediation().
names	A character vector specifying parameter names. It takes the value passed from getMediation().

Value

A data frame containing the point estimates and standard errors for parameters of a longitudinal mediation model.

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