NEWS.md

In MplusLGM: Automate Latent Growth Mixture Modelling in 'Mplus'

MplusLGM (development version)

• bugfix: getPoly- edit p-value threshold for statistical significance
• bugfix: getFit- remove sorting on NLatentclass because of GCM
• bugfix: runLGM - fixed tryCatch to return NULL instead of LL_m2 when no error

MplusLGM 1.0.0

• data: symptoms is a simulated dataset of longitudinal assessment of symptom severity
• function: LGMobject to create Mplus model objects for latent growth modelling.
• function: runLGM to run latent growth models and replicate the best loglikelihood value.
• function: getSpaghetti to plot individual trajectories of outcome.
• function: fitGCM to fit growth curve models
• function: fitGBTM to fit group based trajectory models for class enumeration.
• function: fitLCGA to fit Latent class growth analysis models to refine covariance structure.
• function: getFit to get fit indices from latent growth models.
• function: getBest to select best-fitting model from a list of latent growth models.

• function: getPoly to refine the polynomial order of latent growth models.

• Initial CRAN submission.

MplusLGM documentation built on April 3, 2025, 10:49 p.m.