Package: bayesQR
Version: 2.3
Date: 2017-01-13
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 (>= 3.0), graphics (>= 3.0), methods (>= 3.0), stats (>=
        3.0), utils (>= 2.0)
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: 2017-01-26 20:05:00 UTC; dfbenoit
Repository: CRAN
Date/Publication: 2017-01-27 10:38:21
