https://github.com/cran/quantreg
Tip revision: d90516ef8fb8d7c848eb685f443359b2a267a100 authored by Roger Koenker on 18 September 2004, 00:00:00 UTC
version 3.52
version 3.52
Tip revision: d90516e
INDEX
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.rq Bootstrapping Quantile Regression
engel Engel Data
khmaladze.test Tests of Location and Location Scale
Hypothesis for Linear Models
khmaladzize Function to compute Khmaladze Transformation
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
plot.summary.rqs plot the coordinates of the quantile
regression process
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.fnb Quantile Regression Fitting via Interior Point
Methods
rq.fit.fnc 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.wfit Function to choose method for Weighted
Quantile Regression
rqProcess Compute Quantile Regression Process
rrs.test Quantile Regression Rankscore Test
standardize Function to standardize the quantile
regression process
summary.rq Summary methods for Quantile Regression
table.rq Table of Quantile Regression Results