Bayesian Ordination and Regression AnaLysis R package boral version 2.0.3 CRAN Task View: Environmetrics (https://CRAN.R-project.org/view=Environmetrics) Bayesian approaches for analyzing multivariate data in ecology. Estimation is performed using Markov Chain Monte Carlo (MCMC) methods via Three. JAGS types of models may be fitted: 1) With explanatory variables only, boral fits independent column Generalized Linear Models (GLMs) to each column of the response matrix; 2) With latent variables only, boral fits a purely latent variable model for model-based unconstrained ordination; 3) With explanatory and latent variables, boral fits correlated column GLMs with latent variables to account for any residual correlation between the columns of the response matrix. Software Depends: coda Imports: abind, corpcor, fishMod, graphics, grDevices, lifecycle, MASS, mvtnorm, R2jags, reshape2, stats Suggests: mvabund (>= 4.0.1), corrplot Francis K.C. Hui <fhui28@gmail.com> Comprehensive R Archive Network (CRAN) Francis K.C. Hui [aut, cre] (ORCID: <https://orcid.org/0000-0003-0765-3533>), Wade Blanchard [aut] GPL-2 2025-04-29 application/tgz https://CRAN.R-project.org/package=boral doi:10.32614/CRAN.package.boral