gllvm: Generalized Linear Latent Variable Models (original) (raw)
Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either the Laplace method, variational approximations, or extended variational approximations, implemented via TMB (Kristensen et al. (2016), <doi:10.18637/jss.v070.i05>).
| Version: | 2.0 |
|---|---|
| Depends: | R (≥ 3.5.0), TMB |
| Imports: | MASS, Matrix, statmod, fishMod, mgcv, alabama, nloptr, methods |
| LinkingTo: | TMB, RcppEigen |
| Suggests: | knitr, rmarkdown, testthat, gclus, corrplot, lattice, mvabund, ape, parallel |
| Published: | 2024-11-26 |
| DOI: | 10.32614/CRAN.package.gllvm |
| Author: | Jenni Niku [aut, cre], Wesley Brooks [aut], Riki Herliansyah [aut], Francis K.C. Hui [aut], Pekka Korhonen [aut], Sara Taskinen [aut], Bert van der Veen [aut], David I. Warton [aut] |
| Maintainer: | Jenni Niku <jenni.m.e.niku at jyu.fi> |
| BugReports: | https://github.com/JenniNiku/gllvm/issues |
| License: | GPL-2 |
| URL: | https://jenniniku.github.io/gllvm/,https://github.com/JenniNiku/gllvm |
| NeedsCompilation: | yes |
| Citation: | gllvm citation info |
| Materials: | README NEWS |
| In views: | Environmetrics |
| CRAN checks: | gllvm results |
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