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:	2.2.2
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:	2025-11-20
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 u-bordeaux.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:

Reference manual:	lcmm.html , lcmm.pdf
Vignettes:	Introduction (source, R code)

Downloads:

Package source:	lcmm_2.2.2.tar.gz
Windows binaries:	r-devel: lcmm_2.2.2.zip, r-release: lcmm_2.2.2.zip, r-oldrel: lcmm_2.2.2.zip
macOS binaries:	r-release (arm64): lcmm_2.2.2.tgz, r-oldrel (arm64): lcmm_2.2.2.tgz, r-release (x86_64): lcmm_2.2.2.tgz, r-oldrel (x86_64): lcmm_2.2.2.tgz
Old sources:	lcmm archive

Reverse dependencies:

Reverse depends:	JLPM
Reverse imports:	DynForest, FlexVarJM, nlive, NormPsy, pencal
Reverse suggests:	insight, latrend, parameters

Linking:

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