bayespref: Hierarchical Bayesian analysis of ecological count data

This program implements a hierarchical Bayesian analysis of count data, such as preference experiments. It provides population-level and individual-level preference parameter estimates obtained via MCMC. It also allows for model comparison using Deviance Information Criterion.

Version: 1.0
Depends: coda, lattice, MASS, MCMCpack, RColorBrewer
Published: 2012-10-29
Author: Zachariah Gompert and James A. Fordyce
Maintainer: James A. Fordyce <jfordyce at utk.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: bayespref results

Downloads:

Reference manual: bayespref.pdf
Package source: bayespref_1.0.tar.gz
MacOS X binary: bayespref_1.0.tgz
Windows binary: bayespref_1.0.zip