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: | 0.1.0 |
| Imports: | MASS, pracma, tcltk, GIGrvg, truncnorm, NPflow, invgamma |
| Published: | 2020-02-26 |
| Author: | Dr. Mohammad Arshad Rahman Developer [aut], Prajual Maheshwari [cre] |
| Maintainer: | Prajual Maheshwari <prajual1391 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | bqror results |
| Reference manual: | bqror.pdf |
| Package source: | bqror_0.1.0.tar.gz |
| Windows binaries: | r-devel: bqror_0.1.0.zip, r-release: bqror_0.1.0.zip, r-oldrel: bqror_0.1.0.zip |
| macOS binaries: | r-release: bqror_0.1.0.tgz, r-oldrel: bqror_0.1.0.tgz |
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