The goal of GCLM is to help you write lavaan() script for fitting generalized cross-lagged panel models (GCLM; Zyphur et al., 2019). Currently, there is only one function for fitting the base GCLM, but new functions and arguments may be added to automate the scripting of short-run Granger-Sims tests, and long-run impulse responses.
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("jsakaluk/GCLM")This is a basic example which shows you how to solve a common problem:
library(GCLM)
library(lavaan)
#> This is lavaan 0.6-3
#> lavaan is BETA software! Please report any bugs.
#Save/export script for GCLM between Sacrifice and Satisfaction over 5 waves
base.model <- gclm(xvar = "sacrifice", yvar = "satisfaction", waves = 5)The function saves a lavaan() script for you to immediately submit to its model-fitting functions (e.g., lavaan::sem()), and also outputs a .txt document of the same script to the working directory.
base.model.fit <- sem(base.model, data = dat)
summary(base.model.fit)Eventually, new functionality may be programmed to automate the tests of short-run and long-run effects. Until then, users can manually ammend this script and save as a new lavaan() script to conduct these additional tests.