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 modelbased 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.
Package details 


Author  Francis K.C. Hui 
Date of publication  20170418 05:29:07 UTC 
Maintainer  Francis Hui <fhui28@gmail.com> 
License  GPL2 
Version  1.3.1 
Package repository  View on CRAN 
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