gllvm: Generalized Linear Latent Variable Models

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>). Details for gllvm, see Hui et al. (2015) <doi:10.1111/2041-210X.12236> and (2017) <doi:10.1080/10618600.2016.1164708> and Niku et al. (2017) <doi:10.1007/s13253-017-0304-7>.

Version: 1.1.0
Depends: TMB, mvabund
Imports: MASS, Matrix, mvtnorm, statmod, fishMod
LinkingTo: TMB, RcppEigen
Published: 2018-11-14
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
NeedsCompilation: yes
CRAN checks: gllvm results

Downloads:

Reference manual: gllvm.pdf
Package source: gllvm_1.1.0.tar.gz
Windows binaries: r-devel: gllvm_1.1.0.zip, r-release: gllvm_1.1.0.zip, r-oldrel: gllvm_1.1.0.zip
OS X binaries: r-release: gllvm_1.1.0.tgz, r-oldrel: gllvm_1.1.0.tgz
Old sources: gllvm archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gllvm to link to this page.