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.
|Author||Zachariah Gompert and James A. Fordyce|
|Maintainer||James A. Fordyce <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.