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CRAN: Package lcmm

lcmm: Extended Mixed Models Using Latent Classes and Latent Processes

Estimation of various extensions of the mixed models including latent class mixed models, joint latent class mixed models, mixed models for curvilinear outcomes, mixed models for multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).

Version: 2.2.1 Depends: R (≥ 3.5.0) Imports: nlme, survival (≥ 2.37-2), parallel, mvtnorm, spacefillr, marqLevAlg (> 2.0), doParallel, numDeriv Suggests: knitr, rmarkdown, lattice, NormPsy Published: 2025-02-12 DOI: 10.32614/CRAN.package.lcmm Author: Cecile Proust-Lima [aut, cre], Viviane Philipps [aut], Amadou Diakite [ctb], Benoit Liquet [ctb], Alan Genz [ctb] (Author of hrmsym subroutine), John Burkardt [ctb] (Author of alnorm subroutine) Maintainer: Cecile Proust-Lima <cecile.proust-lima at inserm.fr> BugReports: https://github.com/CecileProust-Lima/lcmm/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] Copyright: see file COPYRIGHTS URL: https://cecileproust-lima.github.io/lcmm/ NeedsCompilation: yes Citation: lcmm citation info Materials: README NEWS In views: Cluster CRAN checks: lcmm results Documentation: Downloads: Reverse dependencies: Linking:

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