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Provides correlation-based penalty estimators for both linear and logistic regression models by implementing a new regularization method that incorporates correlation structures within the data. This method encourages a grouping effect where strongly correlated predictors tend to be in or out of the model together. See Tutz and Ulbricht (2009) <doi:10.1007/s11222-008-9088-5> and Algamal and Lee (2015) <doi:10.1016/j.eswa.2015.08.016>.
Version: | 0.1.0 |
Depends: | R (≥ 3.5) |
Imports: | stats |
Published: | 2024-07-02 |
DOI: | 10.32614/CRAN.package.CBPE |
Author: | Mohammad Arashi [ctb], Mahdi Rahimi [ctb], Mina Norouzirad [aut, cre, cph], FCT, I.P. [fnd] (under the scope of the projects UIDB/00297/2020 and UIDP/00297/2020 (NovaMath)) |
Maintainer: | Mina Norouzirad <mina.norouzirad at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/mnrzrad/CBPE |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | CBPE results |
Reference manual: | CBPE.pdf |
Package source: | CBPE_0.1.0.tar.gz |
Windows binaries: | r-devel: CBPE_0.1.0.zip, r-release: CBPE_0.1.0.zip, r-oldrel: CBPE_0.1.0.zip |
macOS binaries: | r-release (arm64): CBPE_0.1.0.tgz, r-oldrel (arm64): CBPE_0.1.0.tgz, r-release (x86_64): CBPE_0.1.0.tgz, r-oldrel (x86_64): CBPE_0.1.0.tgz |
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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.