mglpa - Multi-Group Latent Profile Analysis and Tests of Profile
Similarity
Estimates latent profile analysis (LPA) models with
continuous indicators across known groups and implements the
sequence of multi-group tests of profile similarity proposed by
Morin, Meyer, Creusier and Bietry (2016)
<doi:10.1177/1094428115621148>: class enumeration, configural,
structural, dispersion, distributional, predictive and
explanatory similarity. Estimation is carried out in R with an
expectation-maximisation algorithm using random starts, with
maximum-likelihood and robust (sandwich) standard errors, so
that no external mixture-modelling software is required.
