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quantreg (version 4.96)
Quantile Regression
Description
Quantile regression and related methods.
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3.01-1
2.0-2
Install
install.packages('quantreg')
Monthly Downloads
369,504
Version
4.96
License
GPL (>= 2)
Maintainer
Roger Koenker
Last Published
March 1st, 2013
Functions in quantreg (4.96)
Search all functions
predict.rqss
Predict from fitted nonparametric quantile regression smoothing spline models
barro
Barro Data
latex.summary.rqs
Make a latex table from a table of rq results
rq.wfit
Function to choose method for Weighted Quantile Regression
rqs.fit
Function to fit multiple response quantile regression models
boot.rq
Bootstrapping Quantile Regression
rq.fit.scad
SCADPenalized Quantile Regression
summary.crq
Summary methods for Censored Quantile Regression
table.rq
Table of Quantile Regression Results
rqProcess
Compute Standardized Quantile Regression Process
KhmaladzeTest
Tests of Location and Location Scale Shift Hypotheses for Linear Models
engel
Engel Data
kuantile
Quicker Sample Quantiles
summary.rqss
Summary of rqss fit
QTECox
Function to obtain QTE from a Cox model
uis
UIS Drug Treatment study data
rq.object
Linear Quantile Regression Object
rq.fit.sfnc
Sparse Constrained Regression Quantile Fitting
sfn.control
Set Control Parameters for Sparse Fitting
rqss
Additive Quantile Regression Smoothing
rq.process.object
Linear Quantile Regression Process Object
anova.rq
Anova function for quantile regression fits
latex
Make a latex version of an R object
Mammals
Garland(1983) Data on Running Speed of Mammals
bandwidth.rq
bandwidth selection for rq functions
plot.rq
plot the coordinates of the quantile regression process
latex.table
Writes a latex formatted table to a file
dither
Function to randomly perturb a vector
rq.fit.lasso
Lasso Penalized Quantile Regression
predict.rq
Quantile Regression Prediction
nlrq.control
Set control parameters for nlrq
rq.fit.sfn
Sparse Regression Quantile Fitting
combos
Ordered Combinations
rq.fit.pfn
Preprocessing Algorithm for Quantile Regression
akj
Density Estimation using Adaptive Kernel method
FAQ
FAQ and ChangeLog of a package
dynrq
Dynamic Linear Quantile Regression
residuals.nlrq
Return residuals of an nlrq object
lm.fit.recursive
Recursive Least Squares
plot.rqs
Visualizing sequences of quantile regressions
plot.summary.rqs
Visualizing sequences of quantile regression summaries
rq.fit.fnc
Quantile Regression Fitting via Interior Point Methods
Peirce
C.S. Peirce's Auditory Response Data
CobarOre
Cobar Ore data
critval
Hotelling Critical Values
print.summary.rq
Print Quantile Regression Summary Object
rq.fit.br
Quantile Regression Fitting by Exterior Point Methods
rq.fit.fnb
Quantile Regression Fitting via Interior Point Methods
summary.rq
Summary methods for Quantile Regression
lprq
locally polynomial quantile regression
qss
Additive Nonparametric Terms for rqss Fitting
boot.crq
Bootstrapping Censored Quantile Regression
rq
Quantile Regression
Bosco
Boscovich Data
ranks
Quantile Regression Ranks
rearrange
Rearrangement
rq.fit
Function to choose method for Quantile Regression
crq
Functions to fit censored quantile regression models
nlrq
Function to compute nonlinear quantile regression estimates
plot.rqss
Plot Method for rqss Objects
print.rq
Print an rq object
rqss.object
RQSS Objects and Summarization Thereof