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 |
| Reference manual: | bayespref.pdf |
| Package source: | bayespref_1.0.tar.gz |
| Windows binaries: | r-devel: bayespref_1.0.zip, r-release: bayespref_1.0.zip, r-oldrel: bayespref_1.0.zip |
| macOS binaries: | r-release: bayespref_1.0.tgz, r-oldrel: bayespref_1.0.tgz |
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