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 inserm.fr> |
BugReports: | https://github.com/CecileProust-Lima/lcmm/issues |
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 Pre-normalizing Usual problems |
Package source: | lcmm_1.9.2.tar.gz |
Windows binaries: | r-devel: lcmm_1.9.2.zip, r-release: lcmm_1.9.2.zip, r-oldrel: lcmm_1.9.2.zip |
macOS binaries: | r-release: lcmm_1.9.2.tgz, r-oldrel: lcmm_1.9.2.tgz |
Old sources: | lcmm archive |
Reverse imports: | NormPsy |
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