Bayesian Quantile Regression
Bayesian quantile regression
Produce quantile plots or traceplots with plot.bayesQR
Calculate predicted probabilities for binary quantile regression
Prints the contents of bayesQR object to the console
Prints the contents of bayesQR.summary object to the console
Create prior for Bayesian quantile regression
Summarize the output of the bayesQR function
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.