getPoly- edit p-value threshold for statistical
significancegetFit- remove sorting on NLatentclass because
of GCMrunLGM - fixed tryCatch to return NULL instead
of LL_m2 when no errordata: 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.