Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either Laplace approximation method or variational approximation method implemented via TMB (Kristensen et al., (2016), <doi:10.18637/jss.v070.i05>). For details see Niku et al. (2019a) <doi:10.1371/journal.pone.0216129> and Niku et al. (2019b) <doi:10.1111/2041-210X.13303>.
| Version: | 1.2.2 |
| Depends: | TMB, mvabund |
| Imports: | MASS, Matrix, mvtnorm, statmod, fishMod, mgcv |
| LinkingTo: | TMB, RcppEigen |
| Suggests: | knitr, rmarkdown, testthat, gclus, corrplot, lattice |
| Published: | 2020-05-11 |
| Author: | Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Sara Taskinen, David I. Warton |
| Maintainer: | Jenni Niku <jenni.m.e.niku at jyu.fi> |
| License: | GPL-2 |
| URL: | https://github.com/JenniNiku/gllvm.git |
| NeedsCompilation: | yes |
| CRAN checks: | gllvm results |
| Reference manual: | gllvm.pdf |
| Vignettes: |
Analysing multivariate abundance data using gllvm Analysing high-dimensional microbial community data using gllvm |
| Package source: | gllvm_1.2.2.tar.gz |
| Windows binaries: | r-devel: gllvm_1.2.2.zip, r-release: gllvm_1.2.2.zip, r-oldrel: gllvm_1.2.2.zip |
| macOS binaries: | r-release: gllvm_1.2.2.tgz, r-oldrel: gllvm_1.2.2.tgz |
| Old sources: | gllvm archive |
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