Learn R Programming
⚠️There's a newer version (6.1) of this package.Take me there.

quantreg (version 5.18)

Quantile Regression

Description

Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.

Copy Link

Version

Install

install.packages('quantreg')

Monthly Downloads

369,504

Version

5.18

License

GPL (>= 2)

Maintainer

Roger Koenker

Last Published

August 16th, 2015

Functions in quantreg (5.18)

ranks

Quantile Regression Ranks
Bosco

Boscovich Data
engel

Engel Data
predict.rqss

Predict from fitted nonparametric quantile regression smoothing spline models
QTECox

Function to obtain QTE from a Cox model
dither

Function to randomly perturb a vector
sfn.control

Set Control Parameters for Sparse Fitting
latex

Make a latex version of an R object
rq.fit.lasso

Lasso Penalized Quantile Regression
rq.fit.br

Quantile Regression Fitting by Exterior Point Methods
lm.fit.recursive

Recursive Least Squares
rq.process.object

Linear Quantile Regression Process Object
qrisk

Function to compute Choquet portfolio weights
print.rq

Print an rq object
rqProcess

Compute Standardized Quantile Regression Process
rq.fit.sfn

Sparse Regression Quantile Fitting
summary.rqss

Summary of rqss fit
Peirce

C.S. Peirce's Auditory Response Data
boot.rq

Bootstrapping Quantile Regression
FAQ

FAQ and ChangeLog of a package
nlrq

Function to compute nonlinear quantile regression estimates
plot.rq

plot the coordinates of the quantile regression process
plot.summary.rqs

Visualizing sequences of quantile regression summaries
rq.fit.scad

SCADPenalized Quantile Regression
Mammals

Garland(1983) Data on Running Speed of Mammals
akj

Density Estimation using Adaptive Kernel method
bandwidth.rq

bandwidth selection for rq functions
gasprice

Time Series of US Gasoline Prices
dynrq

Dynamic Linear Quantile Regression
predict.rq

Quantile Regression Prediction
nlrq.control

Set control parameters for nlrq
rq.fit.hogg

weighted quantile regression fitting
CobarOre

Cobar Ore data
print.summary.rq

Print Quantile Regression Summary Object
rq.fit.fnc

Quantile Regression Fitting via Interior Point Methods
rqss

Additive Quantile Regression Smoothing
plot.rqss

Plot Method for rqss Objects
rq

Quantile Regression
rq.fit.sfnc

Sparse Constrained Regression Quantile Fitting
rqs.fit

Function to fit multiple response quantile regression models
table.rq

Table of Quantile Regression Results
srisk

Markowitz (Mean-Variance) Portfolio Optimization
rqss.object

RQSS Objects and Summarization Thereof
critval

Hotelling Critical Values
rearrange

Rearrangement
rq.object

Linear Quantile Regression Object
rq.fit

Function to choose method for Quantile Regression
boot.crq

Bootstrapping Censored Quantile Regression
rq.fit.fnb

Quantile Regression Fitting via Interior Point Methods
anova.rq

Anova function for quantile regression fits
rq.fit.pfn

Preprocessing Algorithm for Quantile Regression
residuals.nlrq

Return residuals of an nlrq object
uis

UIS Drug Treatment study data
latex.summary.rqs

Make a latex table from a table of rq results
combos

Ordered Combinations
qss

Additive Nonparametric Terms for rqss Fitting
summary.rq

Summary methods for Quantile Regression
kuantile

Quicker Sample Quantiles
barro

Barro Data
crq

Functions to fit censored quantile regression models
lprq

locally polynomial quantile regression
summary.crq

Summary methods for Censored Quantile Regression
latex.table

Writes a latex formatted table to a file
plot.rqs

Visualizing sequences of quantile regressions
KhmaladzeTest

Tests of Location and Location Scale Shift Hypotheses for Linear Models
rq.wfit

Function to choose method for Weighted Quantile Regression