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.

Package details

AuthorFrancis K.C. Hui <[email protected]>, with contributions from Wade Blanchard <[email protected]>
MaintainerFrancis Hui <[email protected]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the boral package in your browser

Any scripts or data that you put into this service are public.

boral documentation built on Jan. 29, 2020, 1:06 a.m.