boral: Bayesian Ordination and Regression AnaLysis
Version 1.3.1

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.

Package details

AuthorFrancis K.C. Hui
Date of publication2017-04-18 05:29:07 UTC
MaintainerFrancis Hui <fhui28@gmail.com>
LicenseGPL-2
Version1.3.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("boral")

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boral documentation built on May 29, 2017, 11:50 a.m.