Correlation-Based Penalized Estimators R package CBPE version 0.1.0 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>. Software Depends: R (>= 3.5) Imports: stats Mina Norouzirad <mina.norouzirad@gmail.com> Comprehensive R Archive Network (CRAN) Mohammad Arashi [ctb] (ORCID: <https://orcid.org/0000-0002-5881-9241>), Mahdi Rahimi [ctb], Mina Norouzirad [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-0311-6888>), FCT, I.P. [fnd] (under the scope of the projects UIDB/00297/2020 and UIDP/00297/2020 (NovaMath)) GPL (>= 2) 2024-07-02 application/tgz https://CRAN.R-project.org/package=CBPE doi:10.32614/CRAN.package.CBPE