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Bayesian quantile regression using the asymmetric Laplace distribution, both continuous as well as binary dependent variables are supported. The package consists of implementations of the methods of Yu & Moyeed (2001) <doi:10.1016/S0167-7152(01)00124-9>, Benoit & Van den Poel (2012) <doi:10.1002/jae.1216> and Al-Hamzawi, Yu & Benoit (2012) <doi:10.1177/1471082X1101200304>. To speed up the calculations, the Markov Chain Monte Carlo core of all algorithms is programmed in Fortran and called from R.
| Version: | 2.4 |
| Depends: | R (≥ 4.2), graphics, methods, stats, utils |
| Published: | 2023-09-08 |
| DOI: | 10.32614/CRAN.package.bayesQR |
| Author: | Dries F. Benoit, Rahim Al-Hamzawi, Keming Yu, Dirk Van den Poel |
| Maintainer: | Dries F. Benoit <Dries.Benoit at UGent.be> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | bayesQR citation info |
| In views: | Bayesian |
| CRAN checks: | bayesQR results |
| Reference manual: | bayesQR.pdf |
| Package source: | bayesQR_2.4.tar.gz |
| Windows binaries: | r-devel: bayesQR_2.4.zip, r-release: bayesQR_2.4.zip, r-oldrel: bayesQR_2.4.zip |
| macOS binaries: | r-release (arm64): bayesQR_2.4.tgz, r-oldrel (arm64): bayesQR_2.4.tgz, r-release (x86_64): bayesQR_2.4.tgz, r-oldrel (x86_64): bayesQR_2.4.tgz |
| Old sources: | bayesQR archive |
| Reverse suggests: | bayestestR |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.