R: Automate Latent Growth Mixture Modelling in 'Mplus'

# Automate Latent Growth Mixture Modelling in 'Mplus'

## Documentation for package ‘MplusLGM’ version 1.0.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

fitGBTM | Fit Group-Based Trajectory Models (GBTM) for class enumeration.
fitGCM | Fit Growth Curve Models (GCM)
fitLCGA | Fit Latent Class Growth Analysis (LCGA) models to refine covariance structure.
getBest | Select best-fitting model from a list of Latent Growth Models (LGM)
getFit | Get fit indices from Latent Growth Models (LGM)
getPoly | Refine Polynomial Order in Latent Growth Modelling (LGM)
getSpaghetti | Plot individual trajectories of outcome - Spaghetti plot
LGMobject | Create Mplus model objects for Latent Growth Modelling (LGM)
runLGM | Run Latent Growth Models (LGM) and replicate the best loglikelihood value (LL)
symptoms | Symptoms Data