Bayesian Quantile Regression for Ordinal Models

Provides an estimation technique for Bayesian quantile regression in ordinal models. Two algorithms are considered - one for an ordinal model with three outcomes and the other for an ordinal model with more than 3 outcomes. It further provides model performance criteria and trace plots for Markov chain Monte Carlo (MCMC) draws. Rahman, M. A. (2016) . Greenberg, E. (2012) . Spiegelhalter, D. J., Best, N. G., Carlin B. P. and Linde A. (2002) .


Reference manual

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0.1.4 by Prajual Maheshwari, 3 months ago

Browse source code at

Authors: Dr. Mohammad Arshad Rahman Developer [aut] , Prajual Maheshwari [cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports MASS, pracma, tcltk, GIGrvg, truncnorm, NPflow, invgamma

See at CRAN