Changes in version 0.2.7 (2025-11-03) - Changing maintainer to Ghislain Vieilledent ghislain.vieilledent@cirad.fr. Changes in version 0.2.6 (2023-07-22) - From 0.2.2 to 0.2.6, there are only minor corrections to pass checks on CRAN. Changes in version 0.2.2 (2023-03-02) - New function jSDM_gaussian for fitting joint species distribution models from continuous Gaussian data, including an overdispersion parameter. - Use of the R package terra instead of raster and sp, which are depreciated, in the vignette Estimation of Madagascar's plant biodiversity. Changes in version 0.2.1 (2022-03-21) - Add the possibility to consider only significant correlations in the get_residual_cor and plot_residual_cor functions. - Documentation corrections Changes in version 0.2.0 (2022-03-08) - New function jSDM_binomial_probit_sp_constrained which aims to improve the convergence of latent variable models fitting by selecting the species constrained to have positive values of factor loadings $\lambda$ and new vignette Bernoulli probit regression with selected constrained species to illustrate its use. - New vignette Estimation of Madagascar's plant biodiversity available. Changes in version 0.1.2 - Add the possibility of considering an additional hierarchical level in the Bayesian models of the jSDM_binomial_probit, jSDM_binomial_logit and jSDM_poisson_log functions to take into account interactions between species-specific traits and the environment in estimating species effects. - New vignette Bernoulli probit regression including species traits available. - Separate the drawing of species effects beta and factor loading lambda in the functions jSDM_binomial_probit_block and jSDM_binomial_probit_block_long_format renamed jSDM_binomial_probit and jSDM_binomial_probit_long_format. - New function plot_associations to plot species-species associations. Changes in version 0.1.1 - Use of roxygen2 for documentation and NAMESPACE. - Rename jSDM_binomial_probit_block the function jSDM_probit_block. - New function jSDM_binomial_probit_block_long_format for fitting joint species distribution models from presence-absence data in long format able to handle missing observations, multiple visits at sites and to integer species traits as explanatory variables. - New function jSDM_poisson_log for fitting joint species distribution models from abundance data inspired by Hui and Francis K. C. 2016 Methods in Ecology and Evolution (doi:10.1111/2041-210X.12514). - New function jSDM_binomial_logit for fitting joint species distribution models from presence-absence data at multiple-visited sites using a bayesian inference method inspired by Albert, James H. and Chib Siddhartha 1993 Journal of the American Statistical Association (doi:10.1080/01621459.1993.10476321). - Functions to fit models in which site effects are included as fixed effects, as random effects or not included and with or without latent variables. - New function get_enviro_cor to extract covariances and correlations due to shared environmental responses. - Completing jSDM-package documentation - Add datasets (mosquitos, fungi, eucalypts, birds, mites, aravo). - Seven new vignettes (Bayesian inference methods, Poisson log-linear regression, Bernoulli probit regression, Bernoulli probit regression with missing data and species traits, Binomial logistic regression, Running jSDM in parallel, Comparing SDMs and JSDMs and Comparison jSDM-Hmsc) are available. - Completing and correcting the vignette Comparison jSDM-boral. - Adding Code of conduct and Contributing sections. - New package website available on GitHub: https://ecology.ghislainv.fr/jSDM/. Changes in version 0.1.0 (2019-07-02) - First version of the jSDM R package - Use of Rcpp and C++ code for Gibbs sampling - Use of GSL (RcppGSL) for random draws - Use of Armadillo (RcppArmadillo) for vector and matrix operations - Functions to fit models from Warton et al. 2014 Trends in Ecology and Evolution (doi:10.1016/j.tree.2015.09.007). - We use pkgdown to build package website. - Package website available on GitHub: https://ecology.ghislainv.fr/jSDM/.