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| akj | Density estimation using adaptive kernel method |
| bandwidth.rq | bandwidth selection for rq functions |
| barro | Barro Data |
| khmaladzize | Function to compute Khmaladze Transformation |
| lm.fit.recursive | Recursive Least Squares |
| plot.khmal | Plots Standardized and Khmaladzized Residual Processes |
| plot.rq.process | plot the coordinates of the quantile regression process |
| plot.table.rq | Plot Table of Quantile Regression Results |
| print.rq | Print an rq object |
| print.summary.rq | Print Quantile Regression Summary Object |
| ranks | Quantile Regression Ranks |
| rq | Quantile Regression |
| rq.fit | Function to choose method for Quantile Regression |
| rq.fit.br | Quantile Regression Fitting by Exterior Point Methods |
| rq.fit.fn | Quantile Regression Fitting via Interior Point Methods |
| rq.fit.pfn | Preprocessing Algorithm for Quantile Regression |
| rq.object | Linear Quantile Regression Object |
| rq.process.object | Linear Quantile Regression Process Object |
| rq.test.khmal | Estimates Quantile Regression Model and Test Statistics |
| rq.wfit | Function to choose method for Weighted Quantile Regression |
| rrs.test | Quantile Regression Rankscore Test |
| standardize | Function to standardize the quantile regression process |
| summary.rq | Summary method for Quantile Regression |
| table.rq | Table of Quantile Regression Results |