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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: | 2.0.2 |
| Depends: | coda |
| Imports: | abind, corpcor, fishMod, graphics, grDevices, lifecycle, MASS, mvtnorm, R2jags, reshape2, stats |
| Suggests: | mvabund (≥ 4.0.1), corrplot |
| Published: | 2024-03-24 |
| 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 |
| Reference manual: | boral.pdf |
| Package source: | boral_2.0.2.tar.gz |
| Windows binaries: | r-devel: boral_2.0.2.zip, r-release: boral_2.0.2.zip, r-oldrel: boral_2.0.2.zip |
| macOS binaries: | r-release (arm64): boral_2.0.2.tgz, r-oldrel (arm64): boral_2.0.2.tgz, r-release (x86_64): boral_2.0.2.tgz, r-oldrel (x86_64): boral_2.0.2.tgz |
| Old sources: | boral archive |
| Reverse suggests: | jSDM |
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