NEWS
MplusLGM 1.0.0.9000
- 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 (2025-02-03)
- 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.