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: | 2011-05-21 |
| Author: | Zachariah Gompert and James A. Fordyce |
| Maintainer: | James A. Fordyce <jfordyce at utk.edu> |
| License: | GPL (≥ 2) |
| CRAN checks: | bayespref results |
| Package source: | bayespref_1.0.tar.gz |
| MacOS X binary: | bayespref_1.0.tgz |
| Windows binary: | bayespref_1.0.zip |
| Reference manual: | bayespref.pdf |