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 and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).

Version: 1.9.2
Depends: R (≥ 2.14.0), survival (≥ 2.37-2), parallel
Suggests: knitr, rmarkdown, lattice, NormPsy
Published: 2020-07-07
Author: Cecile Proust-Lima, Viviane Philipps, Amadou Diakite and Benoit Liquet
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: NEWS
In views: Cluster
CRAN checks: lcmm results


Reference manual: lcmm.pdf
Vignettes: Introduction
Latent class model with hlme
Latent process model with lcmm
Latent process model with multlcmm
Usual problems
Package source: lcmm_1.9.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: lcmm_1.9.2.tgz, r-oldrel: lcmm_1.9.2.tgz
Old sources: lcmm archive

Reverse dependencies:

Reverse imports: NormPsy, SlaPMEG
Reverse suggests: latrend


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