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rqPen: Penalized Quantile Regression

Performs penalized quantile regression with LASSO, elastic net, SCAD and MCP penalty functions including group penalties. In addition, offers a group penalty that provides consistent variable selection across quantiles. Provides a function that automatically generates lambdas and evaluates different models with cross validation or BIC, including a large p version of BIC. Below URL provides a link to a work in progress vignette.

Version: 4.1
Depends: R (≥ 3.0.0)
Imports: methods, quantreg, hqreg, hrqglas, data.table, Rdpack, lifecycle, plyr, Matrix, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: splines, knitr
Published: 2024-05-07
Author: Ben Sherwood [aut, cre], Adam Maidman [aut], Shaobo Li [aut]
Maintainer: Ben Sherwood <ben.sherwood at ku.edu>
License: MIT + file LICENSE
URL: https://github.com/bssherwood/rqpen/blob/master/ignore/rqPenArticle.pdf
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: rqPen results

Documentation:

Reference manual: rqPen.pdf

Downloads:

Package source: rqPen_4.1.tar.gz
Windows binaries: r-devel: rqPen_4.1.zip, r-release: rqPen_4.0.zip, r-oldrel: rqPen_4.1.zip
macOS binaries: r-release (arm64): rqPen_4.0.tgz, r-oldrel (arm64): rqPen_4.0.tgz, r-release (x86_64): rqPen_4.1.tgz, r-oldrel (x86_64): rqPen_4.1.tgz
Old sources: rqPen archive

Reverse dependencies:

Reverse imports: evalITR, MTE, WpProj

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rqPen to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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