| rqPen-package | Penalized quantile regression for LASSO, SCAD, and MCP penalty functions including group penalties |
| beta_plots | Plots of Betas |
| check | Quantile check function |
| coef.cv.rq.group.pen | Group Penalized Quantile Regression Coefficients |
| coef.cv.rq.pen | Penalized Quantile Regression Coefficients |
| cv.rq.group.pen | Cross Validated quantile regression with group penalty |
| cv.rq.pen | Cross Validated quantile regression |
| cv_plots | Plots of Cross-validation results |
| getRho | Objective Function Value |
| get_coef_pen | Returns the coefficient part of the penalized objective function |
| groupMultLambda | Quantile Regression with Group Penalty for multiple lambdas |
| group_derivs | Derivative of a group penalty |
| lasso | Lasso |
| LASSO.fit | LASSO Penalized Quantile Regression |
| LASSO.fit.nonpen | LASSO Penalized Quantile Regression with some nonpenalized coefficients |
| mcp | MCP |
| mcp_deriv | MCP Derivative |
| model_eval | Model Evaluation |
| nonzero | Nonzero |
| nonzero.cv.rq.group.pen | Nonzero |
| plot.cv.rq.group.pen | Plot cv.rq.group.pen |
| pos_part | Positive part |
| predict.cv.rq.pen | Prediction from a cv quantile regression penalized model |
| predict.rq.pen | Prediction from a quantile regression penalized model |
| print.cv.rq.pen | Print cv.rq.pen object |
| print.rq.pen | Print rq.pen object |
| qaSIS | Quantile Adaptive Sure Independence Screening |
| qbic | Quantile Regresion BIC |
| QICD | Penalized Quantile Regression with QICD Algorithm |
| QICD.group | Group Penalized Quantile Regression with QICD Algorithm |
| QICD.master | Master QICD Function for Regular QICD, group QICD, and Partially Penalized QICD with Multiple Lambdas |
| QICD.nonpen | Penalized Quantile Regression with some nonpenalized coefficients with QICD Algorithm |
| randomly_assign | Randomly Assign |
| rq.group.fit | Quantile Regresion with Group Penalty |
| rq.group.lin.prog | Quantile Regresion with Group Penalty using linear programming algorithm |
| rq.lasso.fit | Quantile Regression with LASSO penalty |
| rq.lasso.fit.mult | Fit Quantile Regression model for varying quantiles with LASSO penalty |
| rq.nc.fit | Non-convex penalized quantile regression |
| scad | scad |
| scad_deriv | SCAD Derivative |
| square | Square function |
| transform_coefs | Transform coefficients back to original scale |