gllvm: Generalized Linear Latent Variable Models

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: 2.0.5
Depends: R (≥ 3.5.0), TMB
Imports: MASS, Matrix, fishMod, mgcv, alabama, nloptr, methods
LinkingTo: TMB, RcppEigen
Suggests: knitr, rmarkdown, testthat, gclus, corrplot, lattice, mvabund, ape, parallel
Published: 2025年07月13日
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>
License: GPL-2
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: gllvm results

Documentation:

Reference manual: gllvm.html , gllvm.pdf

Downloads:

Package source: gllvm_2.0.5.tar.gz
Windows binaries: r-devel: gllvm_2.0.5.zip, r-release: gllvm_2.0.5.zip, r-oldrel: gllvm_2.0.5.zip
macOS binaries: r-release (arm64): gllvm_2.0.5.tgz, r-oldrel (arm64): gllvm_2.0.5.tgz, r-release (x86_64): gllvm_2.0.5.tgz, r-oldrel (x86_64): gllvm_2.0.5.tgz
Old sources: gllvm archive

Reverse dependencies:

Reverse suggests: ecostats

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