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)
Repository: https://ugent-cvamo.r-universe.dev
Date/Publication: 2026-03-13 13:54:34 UTC
RemoteUrl: https://github.com/ugent-cvamo/bayesqr
RemoteRef: HEAD
RemoteSha: 4549ee7f902ca19ea79d417b4f79304600c85120
NeedsCompilation: yes
Packaged: 2026-06-12 09:12:59 UTC; root