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.

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Description file content

Package
boral
Title
Bayesian Ordination and Regression AnaLysis
Version
1.7
Date
2018-11-01
Author
Francis K.C. Hui , with contributions from Wade Blanchard
Maintainer
Francis Hui
Description
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.
License
GPL-2
Depends
coda
Imports
R2jags, mvtnorm, fishMod, MASS, stats, graphics, grDevices, abind
Suggests
mvabund (>= 3.12), corrplot
NeedsCompilation
no
Packaged
2018-10-21 07:55:45 UTC; fh
Repository
CRAN
Date/Publication
2018-10-21 08:10:03 UTC

install.packages('boral')

1.7

a month ago

Francis Hui

GPL-2

Depends on

coda

Imports

R2jags, mvtnorm, fishMod, MASS, stats, graphics, grDevices, abind

Suggests

mvabund (>= 3.12), corrplot

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