Package: boral
Title: Bayesian Ordination and Regression AnaLysis
Version: 2.0.3
Date: 2025-05-1
Authors@R: c(person(given = c("Francis", "K.C."),
                        family = "Hui",
                        role = c("aut", "cre"),
                        email = "fhui28@gmail.com",
                        comment = c(ORCID = "0000-0003-0765-3533")),
                 person(given = "Wade",
                        family = "Blanchard",
                        role = "aut"))
Description: 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.
License: GPL-2
Depends: coda
Imports: abind, corpcor, fishMod, graphics, grDevices, lifecycle, MASS,
        mvtnorm, R2jags, reshape2, stats
Suggests: mvabund (>= 4.0.1), corrplot
NeedsCompilation: no
Packaged: 2026-09-20 06:52:21 UTC; root
Author: Francis K.C. Hui [aut, cre]
        (<https://orcid.org/0000-0003-0765-3533>), Wade Blanchard [aut]
Maintainer: Francis K.C. Hui <fhui28@gmail.com>
Config/pak/sysreqs: jags libicu-dev
Repository: https://fhui28.r-universe.dev
Date/Publication: 2025-04-29 23:10:02 UTC
RemoteUrl: https://github.com/cran/boral
RemoteRef: HEAD
RemoteSha: 6e5473befed84b06e879586eb625580e7152c319