| 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 |
| groupQICD | Quantile Regression with Group Penalty using QICD algorithm |
| groupQICDMultLambda | Quantile Regression with Group Penalty using QICD algorithm for multiple lambdas |
| kernel_estimates | Kernel based estimates of Y|X |
| kernel_weights | Nonparametric estimate of IPW weights |
| lasso | Lasso |
| 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 |
| qbic | Quantile Regresion BIC |
| randomly_assign | Randomly Assign |
| rq.group.fit | Quantile Regresion with Group Penalty |
| 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 |