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.
CBPE: Correlation-Based Penalized Estimators
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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=CBPE
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.