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.
Version: 2.0.3 Depends: coda Imports: abind, corpcor, fishMod, graphics, grDevices, lifecycle, MASS, mvtnorm, R2jags, reshape2, stats Suggests: mvabund (≥ 4.0.1), corrplot Published: 2025-04-29 DOI: 10.32614/CRAN.package.boral Author: Francis K.C. Hui [aut, cre], Wade Blanchard [aut] Maintainer: Francis K.C. Hui <fhui28 at gmail.com> License: GPL-2 NeedsCompilation: no Citation: boral citation info In views: Environmetrics CRAN checks: boral results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=boral to link to this page.
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