bqror: 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) <doi:10.1214/15-BA939>. Greenberg, E. (2012) <doi:10.1017/CBO9781139058414>. Spiegelhalter, D. J., Best, N. G., Carlin B. P. and Linde A. (2002) <doi:10.1111/1467-9868.00353>.

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: MASS, pracma, tcltk, GIGrvg, truncnorm, NPflow, invgamma, graphics, stats
Published: 2021-09-12
Author: Prof. Mohammad Arshad Rahman Developer [aut], Prajual Maheshwari [cre]
Maintainer: Prajual Maheshwari <prajual1391 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: bqror results


Reference manual: bqror.pdf
Package source: bqror_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bqror_1.1.0.tgz, r-release (x86_64): bqror_1.1.0.tgz, r-oldrel: bqror_1.1.0.tgz
Old sources: bqror archive


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