Provides functions for estimating Bayesian quantile regression
for ordinal models, calculating covariate effects, and computing measures for
model comparision. Specifically, the package offers two estimation functions -
one for an ordinal model with more than three outcomes. For each ordinal model,
the package provides functions to calculate the covariate effect using the MCMC
outputs. The package also computes marginal likelihood (recommended) and the
Deviance Information Criterion (DIC) for comparing alternative quantile regression
models. Besides, the package also contains functions for making trace plots of MCMC draws
and other functions that aids the estimation or inference of quantile ordinal models.
Rahman, M. A. (2016).“Bayesian Quantile Regression for Ordinal Models.” Bayesian
Analysis, II(I): 1-24