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jSDM: Joint Species Distribution Models

Fits joint species distribution models ('jSDM') in a hierarchical Bayesian framework (Warton and 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: 0.2.6
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.0), graphics, stats, coda, corrplot, stringi, MASS, parallel, doParallel, foreach, methods
LinkingTo: Rcpp, RcppArmadillo, RcppGSL
Suggests: knitr, kableExtra, terra, dplyr, rmarkdown, bookdown, testthat (≥ 3.0.0), boral, Hmsc, BayesComm, snow, snowfall, ggplot2, covr, ape, gstat
Published: 2023-07-22
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
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_0.2.6.tar.gz
Windows binaries: r-devel: jSDM_0.2.6.zip, r-release: jSDM_0.2.6.zip, r-oldrel: jSDM_0.2.6.zip
macOS binaries: r-release (arm64): jSDM_0.2.6.tgz, r-oldrel (arm64): jSDM_0.2.6.tgz, r-release (x86_64): jSDM_0.2.6.tgz, r-oldrel (x86_64): jSDM_0.2.6.tgz
Old sources: jSDM archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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