Bayesian Ordination and Regression AnaLysis

Bayesian approaches for analyzing multivariate data in ecology. Estimation is performed using Markov Chain Monte Carlo (MCMC) methods via JAGS. Three 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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.3.1 by Francis Hui, 7 days ago

Browse source code at

Authors: Francis K.C. Hui

Documentation:   PDF Manual  

GPL-2 license

Imports R2jags, mvtnorm, fishMod, MASS, stats, graphics, grDevices, abind

Depends on coda

Suggests mvabund, corrplot

See at CRAN