R package for fitting proportional and non-proportional odds ordinal regression models in a Bayesian framework
This package aims to implement the methods described in McKinley et al. (2015), Bayesian Analysis, 10 (1), P1--30, for fitting ordinal regression models in a Bayesian framework. The methods use reversible-jump Markov chain Monte Carlo to perform Bayesian model selection, choosing between proportional odds (PO) and non-proportional odds (NPO) structures, and combinations thereof. The methods are extended to include variable selection based on posterior probabilities of association.
Since this is a development version, it is best to install via the devtools package:
library(devtools)
install_github("tjmckinley/BayesOrd")
This package is licensed to you under the terms of the GNU General Public License version 3 or later.