lcmm: Extended Mixed Models Using Latent Classes and Latent Processes (original) (raw)
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 |
| URL: | https://cecileproust-lima.github.io/lcmm/ |
| NeedsCompilation: | yes |
| Citation: | lcmm citation info |
| Materials: | README, NEWS |
| In views: | Cluster |
| CRAN checks: | lcmm results |
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