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:
CBPE_0.1.0.tar.gz
CBPE_0.1.0.zip(r-4.7-any)CBPE_0.1.0.zip(r-4.6-any)CBPE_0.1.0.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
CBPE/json (API)
| # 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
Last updated from:21471dba3f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 92 | ||
| source / vignettes | OK | 145 | ||
| linux-release | OK | 106 | ||
| macos-release | OK | 92 | ||
| macos-oldrel | OK | 100 | ||
| windows-devel | OK | 56 | ||
| windows-release | OK | 61 | ||
| windows-oldrel | OK | 50 | ||
| wasm-release | OK | 67 |
Exports:CBPLinearECBPLogisticE
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Correlation-based Estimator for Linear Regression Models | CBPLinearE |
| Correlation-based Estimator for Logistic Regression Models | CBPLogisticE |