boral - Bayesian Ordination and Regression AnaLysis
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.
