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), Benoit & Van den Poel (2012) and Al-Hamzawi, Yu & Benoit (2012). To speed up the calculations, the Markov Chain Monte Carlo core of all algorithms is programmed in Fortran and called from R.

Depends: R (>= 3.0), graphics (>= 3.0), methods (>= 3.0), stats (>=
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.

Title: Bayesian Survival Regression with Flexible Error and (later on also Random Effects) Distributions
Packaged: Mon Dec 27 13:47:25 2004; hornik

Title: Bayesian Survival Regression with Flexible Error and Random Effects Distributions
Depends: R (>= 2.0.0), survival, coda, smoothSurv
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