quantreg: Quantile Regression
Version 5.35

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.

Package details

AuthorRoger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), 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)
Date of publication2018-02-02 21:20:14 UTC
MaintainerRoger Koenker <[email protected]>
LicenseGPL (>= 2)
Version5.35
URL https://www.r-project.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("quantreg")

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quantreg documentation built on Feb. 3, 2018, 1:03 a.m.