Package: bayesQR
Version: 2.4
Date: 2023-09-08
Title: Bayesian Quantile Regression
Author: Dries F. Benoit, Rahim Al-Hamzawi, Keming Yu, Dirk Van den Poel
Maintainer: Dries F. Benoit <Dries.Benoit@UGent.be>
Depends: R (>= 4.2), graphics, methods, stats, utils
Description: 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.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2023-09-08 17:13:35 UTC; dfbenoit
Repository: CRAN
Date/Publication: 2023-09-08 17:30:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 12:29:40 UTC; unix
Archs: bayesQR.so.dSYM
