Package: CBPE 0.1.0

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>.

Authors:Mohammad Arashi [ctb], Mahdi Rahimi [ctb], Mina Norouzirad [aut, cre, cph], FCT, I.P. [fnd]

CBPE_0.1.0.tar.gz
CBPE_0.1.0.zip(r-4.5)CBPE_0.1.0.zip(r-4.4)CBPE_0.1.0.zip(r-4.3)
CBPE_0.1.0.tgz(r-4.4-any)CBPE_0.1.0.tgz(r-4.3-any)
CBPE_0.1.0.tar.gz(r-4.5-noble)CBPE_0.1.0.tar.gz(r-4.4-noble)
CBPE_0.1.0.tgz(r-4.4-emscripten)CBPE_0.1.0.tgz(r-4.3-emscripten)
CBPE.pdf |CBPE.html✨
CBPE/json (API)
NEWS

# Install 'CBPE' in R:

install.packages('CBPE', repos = c('https://mnrzrad.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mnrzrad/cbpe/issues

On CRAN:

3.00 score 245 downloads 2 exports 0 dependencies

Last updated 5 months agofrom:dedbe22d36. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 08 2024
R-4.5-win	OK	Nov 08 2024
R-4.5-linux	OK	Nov 08 2024
R-4.4-win	OK	Nov 08 2024
R-4.4-mac	OK	Nov 08 2024
R-4.3-win	OK	Nov 08 2024
R-4.3-mac	OK	Nov 08 2024