boral (1.3.1)

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Bayesian Ordination and Regression AnaLysis.

http://cran.r-project.org/web/packages/boral

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.

Maintainer: Francis Hui
Author(s): Francis K.C. Hui

License: GPL-2

Uses: abind, coda, fishMod, MASS, mvtnorm, R2jags, mvabund, corrplot

Released 5 months ago.


11 previous versions

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