quantreg: Quantile Regression

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 now included.

Version: 5.61
Depends: R (≥ 2.6), stats, SparseM
Imports: methods, graphics, Matrix, MatrixModels, conquer
Suggests: tripack, akima, MASS, survival, rgl, logspline, nor1mix, Formula, zoo, R.rsp
Published: 2020-07-09
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Blaise Melly [ctb] (Contributions to preprocessing code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), Cleve Moler [ctb] (author of several linpack routines), Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame -- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice)
Maintainer: Roger Koenker <rkoenker at illinois.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.r-project.org
NeedsCompilation: yes
Materials: README ChangeLog
In views: Econometrics, Environmetrics, Optimization, ReproducibleResearch, Robust, SocialSciences, Survival
CRAN checks: quantreg results

Downloads:

Reference manual: quantreg.pdf
Vignettes: quantreg: crq
quantreg: rq
Package source: quantreg_5.61.tar.gz
Windows binaries: r-devel: quantreg_5.61.zip, r-release: quantreg_5.61.zip, r-oldrel: quantreg_5.61.zip
macOS binaries: r-release: quantreg_5.61.tgz, r-oldrel: quantreg_5.61.tgz
Old sources: quantreg archive

Reverse dependencies:

Reverse depends: abc, AdjBQR, alphaOutlier, cqn, cqrReg, EILA, EXRQ, ForecastCombinations, genpathmox, lss2, McSpatial, midasr, OutlierD, OutlierDC, pfa, pheno, plaqr, PRIMsrc, QRegVCM, qrjoint, quantreg.nonpar, quantregGrowth, quantsmooth, Rearrangement, riv, RobPer, rqPen, rrat, SIM, tidyvpc, turboEM, vdg, weightQuant
Reverse imports: apTreeshape, CADStat, car, chipPCR, cluscov, cmprskQR, cobs, Counterfactual, crs, ddpca, diveMove, EdSurvey, emplik, erah, esreg, ForecastComb, gapfill, georob, ggquickeda, hettx, JWileymisc, LRQMM, MAVIS, MCMCpack, midasml, MiRKAT, modeLLtest, MultiKink, mvctm, MXM, NCA, np, NSM3, otvPlots, OutlierDM, pez, plotluck, profExtrema, ptest, QBAsyDist, QRank, qrLMM, qrmix, qrNLMM, qte, QTOCen, Qtools, quantilogram, quantoptr, quantspec, quokar, RATest, rlme, rms, robmed, RPPanalyzer, scde, SCnorm, SGP, smoothAPC, sn, SortedEffects, stR, SystemicR, TSrepr, TTCA, WEE, WRTDStidal
Reverse suggests: AER, broom, ctsem, DAAG, dyn, ggeffects, ggiraph, ggplot2, GLDreg, gsubfn, HSAUR3, insight, latticeExtra, lava, mediation, MultiRobust, openair, opera, optimCheck, parameters, PerformanceAnalytics, picante, simsem, survey, tram, vinereg
Reverse enhances: jtools, prediction, stargazer

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