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 ORCID iD [aut, cre], Ghislain Vieilledent ORCID iD [aut], Frédéric Gosselin ORCID iD [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


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


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-release (x86_64): jSDM_0.2.1.tgz, r-oldrel: jSDM_0.2.1.tgz
Old sources: jSDM archive


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