The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

pqrfe: Penalized Quantile Regression with Fixed Effects

Quantile regression with fixed effects is a general model for longitudinal data. Here we proposed to solve it by several methods. The estimation methods include three loss functions as check, asymmetric least square and asymmetric Huber functions; and three structures as simple regression, fixed effects and fixed effects with penalized intercepts by LASSO.

Version: 1.1
Imports: Rcpp (≥ 1.0.5), MASS (≥ 7.3-49)
LinkingTo: Rcpp, RcppArmadillo
Suggests: tinytest (≥ 1.3.1)
Published: 2022-12-01
DOI: 10.32614/CRAN.package.pqrfe
Author: Ian Meneghel Danilevicz ORCID iD [aut, cre], Valderio A Reisen [aut], Pascal Bondon [aut]
Maintainer: Ian Meneghel Danilevicz <iandanilevicz at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: pqrfe results

Documentation:

Reference manual: pqrfe.pdf

Downloads:

Package source: pqrfe_1.1.tar.gz
Windows binaries: r-devel: pqrfe_1.1.zip, r-release: pqrfe_1.1.zip, r-oldrel: pqrfe_1.1.zip
macOS binaries: r-release (arm64): pqrfe_1.1.tgz, r-oldrel (arm64): pqrfe_1.1.tgz, r-release (x86_64): pqrfe_1.1.tgz, r-oldrel (x86_64): pqrfe_1.1.tgz
Old sources: pqrfe archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pqrfe 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.
Health stats visible at Monitor.