| akj | Density Estimation using Adaptive Kernel method |
| anova.rq | Anova function for quantile regression fits |
| bandwidth.rq | bandwidth selection for rq functions |
| barro | Barro Data |
| boot.crq | Bootstrapping Censored Quantile Regression |
| boot.rq | Bootstrapping Quantile Regression |
| boot.rq.pwxy | Preprocessing weighted bootstrap method |
| boot.rq.pxy | Preprocessing bootstrap method |
| Bosco | Boscovich Data |
| CobarOre | Cobar Ore data |
| combos | Ordered Combinations |
| critval | Hotelling Critical Values |
| crq | Functions to fit censored quantile regression models |
| dither | Function to randomly perturb a vector |
| dynrq | Dynamic Linear Quantile Regression |
| engel | Engel Data |
| FAQ | FAQ and ChangeLog of a package |
| gasprice | Time Series of US Gasoline Prices |
| KhmaladzeTest | Tests of Location and Location Scale Shift Hypotheses for... |
| kuantile | Quicker Sample Quantiles |
| LassoLambdaHat | Lambda selection for QR lasso problems |
| latex | Make a latex version of an R object |
| latex.summary.rqs | Make a latex table from a table of rq results |
| latex.table | Writes a latex formatted table to a file |
| lm.fit.recursive | Recursive Least Squares |
| lprq | locally polynomial quantile regression |
| Mammals | Garland(1983) Data on Running Speed of Mammals |
| MelTemp | Daily maximum temperatures in Melbourne, Australia |
| Munge | Munge rqss formula |
| nlrq | Function to compute nonlinear quantile regression estimates |
| nlrq.control | Set control parameters for nlrq |
| ParetoTest | Estimation and Inference on the Pareto Tail Exponent for... |
| Peirce | C.S. Peirce's Auditory Response Data |
| plot.KhmaladzeTest | Plot a KhmaladzeTest object |
| plot.rq.process | plot the coordinates of the quantile regression process |
| plot.rqs | Visualizing sequences of quantile regressions |
| plot.rqss | Plot Method for rqss Objects |
| plot.summary.rqs | Visualizing sequences of quantile regression summaries |
| predict.rq | Quantile Regression Prediction |
| predict.rqss | Predict from fitted nonparametric quantile regression... |
| print.KhmaladzeTest | Print a KhmaladzeTest object |
| print.rq | Print an rq object |
| print.summary.rq | Print Quantile Regression Summary Object |
| q489 | Even Quicker Sample Quantiles |
| qrisk | Function to compute Choquet portfolio weights |
| qss | Additive Nonparametric Terms for rqss Fitting |
| QTECox | Function to obtain QTE from a Cox model |
| ranks | Quantile Regression Ranks |
| rearrange | Rearrangement |
| residuals.nlrq | Return residuals of an nlrq object |
| rq | Quantile Regression |
| rq.fit | Function to choose method for Quantile Regression |
| rq.fit.br | Quantile Regression Fitting by Exterior Point Methods |
| rq.fit.conquer | Optional Fitting Method for Quantile Regression |
| rq.fit.fnb | Quantile Regression Fitting via Interior Point Methods |
| rq.fit.fnc | Quantile Regression Fitting via Interior Point Methods |
| rq.fit.hogg | weighted quantile regression fitting |
| rq.fit.lasso | Lasso Penalized Quantile Regression |
| rq.fit.pfn | Preprocessing Algorithm for Quantile Regression |
| rq.fit.pfnb | Quantile Regression Fitting via Interior Point Methods |
| rq.fit.ppro | Preprocessing fitting method for QR |
| rq.fit.qfnb | Quantile Regression Fitting via Interior Point Methods |
| rq.fit.scad | SCADPenalized Quantile Regression |
| rq.fit.sfn | Sparse Regression Quantile Fitting |
| rq.fit.sfnc | Sparse Constrained Regression Quantile Fitting |
| rq.object | Linear Quantile Regression Object |
| rqProcess | Compute Standardized Quantile Regression Process |
| rq.process.object | Linear Quantile Regression Process Object |
| rqs.fit | Function to fit multiple response quantile regression models |
| rqss | Additive Quantile Regression Smoothing |
| rqss.object | RQSS Objects and Summarization Thereof |
| rq.wfit | Function to choose method for Weighted Quantile Regression |
| sfn.control | Set Control Parameters for Sparse Fitting |
| srisk | Markowitz (Mean-Variance) Portfolio Optimization |
| summary.crq | Summary methods for Censored Quantile Regression |
| summary.rq | Summary methods for Quantile Regression |
| summary.rqss | Summary of rqss fit |
| table.rq | Table of Quantile Regression Results |
| uis | UIS Drug Treatment study data |
