pqrBayes-package |
Bayesian penalized quantile regression for linear, group LASSO and varying coefficient models |
coverage |
95% empirical coverage probability for a pqrBayes object |
data |
Simulated data under high-dimensional linear, group LASSO and quantile varying coefficient models |
estimation.pqrBayes |
Estimation and estimation accuracy for a pqrBayes object |
pqrBayes |
fit Bayesian penalized quantile regression for linear, group LASSO, or 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 |