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: |
1.4.3 |
| Depends: |
R (≥ 3.5.0), TMB, mvabund |
| Imports: |
MASS, Matrix, statmod, fishMod, mgcv, alabama, nloptr, methods |
| LinkingTo: |
TMB, RcppEigen |
| Suggests: |
knitr, rmarkdown, testthat, gclus, corrplot, lattice |
| Published: |
2023-09-18 |
| 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://github.com/JenniNiku/gllvm |
| NeedsCompilation: |
yes |
| Citation: |
gllvm citation info |
| Materials: |
README NEWS |
| In views: |
Environmetrics |
| CRAN checks: |
gllvm results |