https://cahitgs.r-universe.devRecent package updates in cahitgsR-universehttps://github.com/cahitgs.pnghttps://cahitgs.r-universe.devWed, 11 Nov 2026 22:01:40 GMT191721087+cahitgs@users.noreply.github.com (Mehmet Cahit Marangoz)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.https://github.com/r-universe/cahitgs/actions/runs/43108974324Wed, 11 Nov 2026 22:01:40 GMTmglpa0.0.0.9000successhttps://cahitgs.r-universe.devhttps://github.com/cahitgs/mglpamglpa.Rmdmglpa.htmlMulti-group tests of profile similarity with mglpa2026-11-11 14:50:152026-11-11 14:50:15