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-4.7)CBPE_0.1.0.zip(r-4.6)CBPE_0.1.0.zip(r-4.5)
CBPE_0.1.0.tgz(r-4.6-any)CBPE_0.1.0.tgz(r-4.5-any)
CBPE_0.1.0.tar.gz(r-4.7-any)CBPE_0.1.0.tar.gz(r-4.6-any)
CBPE_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

2.70 score 1 scripts 217 downloads 2 exports 0 dependencies

Last updated from:21471dba3f. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	93
source / vignettes	OK	140
linux-release-x86_64	OK	102
macos-release-arm64	OK	132
macos-oldrel-arm64	OK	150
windows-devel	OK	58
windows-release	OK	109
windows-oldrel	OK	65
wasm-release	OK	88