coverage                95% empirical coverage probability for a
                        pqrBayes object
data                    Simulated data under high-dimensional linear,
                        binary, group LASSO and quantile varying
                        coefficient models
estimation.pqrBayes     Estimation and estimation accuracy for a
                        pqrBayes object
pqrBayes                fit Bayesian penalized quantile regression for
                        a sparse linear model, binary LASSO, group
                        LASSO, or varying coefficient model based on
                        spike-and-slab priors and/or the horseshoe
                        family of priors
pqrBayes-package        Bayesian penalized quantile regression for the
                        sparse linear model, binary LASSO, group LASSO
                        and varying coefficient models based on
                        spike-and-slab priors and/or the horseshoe
                        family of priors
pqrBayes.select         Variable selection for a pqrBayes object
predict_pqrBayes        Make predictions from a pqrBayes object
print.pqrBayes          print a pqrBayes result
print.pqrBayes.pred     print a pqrBayes.pred object
print.pqrBayes.select   print a select.pqrBayes object
