CRAN/E | gllvm

gllvm

Generalized Linear Latent Variable Models

Installation

About

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.

Citation gllvm citation info
github.com/JenniNiku/gllvm
Bug report File report

Key Metrics

Version 1.4.3
R ≥ 3.5.0
Published 2023-09-18 218 days ago
Needs compilation? yes
License GPL-2
CRAN checks gllvm results

Downloads

Yesterday 11 0%
Last 7 days 112 -1%
Last 30 days 454 -23%
Last 90 days 1.803 +8%
Last 365 days 6.548 -10%

Maintainer

Maintainer

Jenni Niku

jenni.m.e.niku@jyu.fi

Authors

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

Material

README
NEWS
Reference manual
Package source

Vignettes

Analysing multivariate abundance data using gllvm
Analysing high-dimensional microbial community data using gllvm
Introduction to gllvm Part 1: Ordination
Introduction to gllvm Part 2: Species correlations
How to use the quadratic response model
Ordination with predictors

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gllvm archive

Depends

R ≥ 3.5.0
TMB
mvabund

Imports

MASS
Matrix
statmod
fishMod
mgcv
alabama
nloptr
methods

Suggests

knitr
rmarkdown
testthat
gclus
corrplot
lattice

LinkingTo

TMB
RcppEigen

Reverse Suggests

ecostats