jSDM: Joint Species Distribution Models

Fits joint species distribution models ('jSDM') in a hierarchical Bayesian framework (Warton et al. 2015 <doi:10.1016/j.tree.2015.09.007>). The Gibbs sampler is written in C++. It uses 'Rcpp', 'Armadillo' and 'GSL' to maximize computation efficiency.

Version:	0.2.1
Depends:	R (≥ 3.5.0)
Imports:	Rcpp (≥ 1.0.0), graphics, stats, coda, corrplot, stringi, MASS, parallel, doParallel, foreach
LinkingTo:	Rcpp, RcppArmadillo, RcppGSL
Suggests:	knitr, kableExtra, raster, sp, rgdal, dplyr, rmarkdown, bookdown, testthat, boral, Hmsc, BayesComm, snow, snowfall, ggplot2
Published:	2022-03-21
Author:	Jeanne Clément [aut, cre], Ghislain Vieilledent [aut], Frédéric Gosselin [ctb], CIRAD [cph, fnd]
Maintainer:	Jeanne Clément <jeanne.clement16 at laposte.net>
BugReports:	https://github.com/ghislainv/jSDM/issues
License:	GPL-3 | file LICENSE
URL:	https://ecology.ghislainv.fr/jSDM/, https://github.com/ghislainv/jSDM
NeedsCompilation:	yes
SystemRequirements:	GNU GSL
Materials:	README NEWS
CRAN checks:	jSDM results

Documentation:

Reference manual:	jSDM.pdf
Vignettes:	Get started with jSDM Bayesian inference methods

Downloads:

Package source:	jSDM_0.2.1.tar.gz
Windows binaries:	r-devel: jSDM_0.2.1.zip, r-release: jSDM_0.2.1.zip, r-oldrel: jSDM_0.2.1.zip
macOS binaries:	r-release (arm64): jSDM_0.2.1.tgz, r-oldrel (arm64): jSDM_0.2.1.tgz, r-release (x86_64): jSDM_0.2.1.tgz, r-oldrel (x86_64): jSDM_0.2.1.tgz
Old sources:	jSDM archive

Linking:

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