pqrBayes-package | Bayesian penalized quantile regression for linear and varying coefficient models |
coverage | 95% empirical coverage probability for a pqrBayes object |
data | simulated data under sparse linear and quantile varying coefficient models |
estimation.pqrBayes | Estimation and estimation accuracy for a pqrBayes object |
pqrBayes | fit Bayesian penalized quantile regression for linear and varying coefficient models |
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 |