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jSDM
View on CRAN: Click
here
Download and install jSDM package within the R console
Install from CRAN:
install.packages("jSDM")
Install from Github:
library("remotes")
install_github("cran/jSDM") Install by package version:
library("remotes")
install_version("jSDM", "0.2.7") Attach the package and use:
library("jSDM")
Maintained by
Jeanne Clément
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-02
Latest Update: 2023-07-22
Description:
Fits joint species distribution models ('jSDM')
in a hierarchical Bayesian framework (Warton and al. 2015
). The Gibbs sampler is written
in 'C++'. It uses 'Rcpp', 'Armadillo' and 'GSL' to maximize computation
efficiency.
How to cite:
Jeanne Clément (2019). jSDM: Joint Species Distribution Models. R package version 0.2.7, https://cran.r-project.org/web/packages/jSDM. Accessed 05 Aug. 2026.
Previous versions and publish date:
Other packages that cited jSDM R package
View jSDM citation profile
Other R packages that jSDM depends,
imports, suggests or enhances
Complete documentation for jSDM
Functions, R codes and Examples using
the jSDM R package
Some associated functions: aravo . birds . eucalypts . frogs . fungi . get_enviro_cor . get_residual_cor . inv_logit . jSDM-package . jSDM_binomial_logit . jSDM_binomial_probit . jSDM_binomial_probit_long_format . jSDM_binomial_probit_sp_constrained . jSDM_gaussian . jSDM_poisson_log . logit . madagascar . mites . mosquitos . plot_associations . plot_residual_cor . predict.jSDM .
Some associated R codes: RcppExports.R . get_enviro_cor.R . get_residual_cor.R . hidden.R . jSDM-package.R . jSDM_binomial_logit.R . jSDM_binomial_probit.R . jSDM_binomial_probit_long_format.R . jSDM_binomial_probit_sp_constrained.R . jSDM_gaussian.R . jSDM_poisson_log.R . logit.R . plot_associations.R . plot_residual_cor.R . predict.jSDM.R . zzz.R . Full jSDM package functions and examples
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