Package: boral
Title: Bayesian Ordination and Regression AnaLysis
Version: 2.0.2
Date: 2024-04-15
Author: Francis K.C. Hui [aut, cre], 
     Wade Blanchard [aut]
Maintainer: Francis K.C. Hui <fhui28@gmail.com>
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: 2024-03-24 09:55:36 UTC; fkch
Repository: CRAN
Date/Publication: 2024-03-24 22:20:02 UTC