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 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: 2.0.2
Depends: R (≥ 3.5.0), survival (≥ 2.37-2), parallel, mvtnorm, randtoolbox, marqLevAlg (> 2.0)
Imports: nlme
Suggests: knitr, rmarkdown, lattice, NormPsy
Published: 2023-02-20
Author: Cecile Proust-Lima [aut, cre], Viviane Philipps [aut], Amadou Diakite [ctb], Benoit Liquet [ctb]
Maintainer: Cecile Proust-Lima <cecile.proust-lima at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: yes
Citation: lcmm citation info
Materials: README NEWS
In views: Cluster
CRAN checks: lcmm results


Reference manual: lcmm.pdf
Vignettes: Introduction


Package source: lcmm_2.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): lcmm_2.0.2.tgz, r-oldrel (arm64): lcmm_2.0.2.tgz, r-release (x86_64): lcmm_2.0.2.tgz, r-oldrel (x86_64): lcmm_2.0.2.tgz
Old sources: lcmm archive

Reverse dependencies:

Reverse imports: DynForest, nlive, NormPsy, pencal, SlaPMEG
Reverse suggests: JLPM, latrend


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