Implements 'SplitWise', a hybrid regression approach that transforms numeric variables into either single-split (0/1) dummy variables or retains them as continuous predictors. The transformation is followed by stepwise selection to identify the most relevant variables. The default 'iterative' mode adaptively explores partial synergies among variables to enhance model performance, while an alternative 'univariate' mode applies simpler transformations independently to each predictor. For details, see Kurbucz et al. (2025) <doi:10.48550/arXiv.2505.15423>.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | rpart, stats |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2025-07-31 |
| DOI: | 10.32614/CRAN.package.SplitWise |
| Author: | Marcell T. Kurbucz [aut, cre], Nikolaos Tzivanakis [aut], Nilufer Sari Aslam [aut], Adam M. Sykulski [aut] |
| Maintainer: | Marcell T. Kurbucz <m.kurbucz at ucl.ac.uk> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | SplitWise results |
| Reference manual: | SplitWise.html , SplitWise.pdf |
| Vignettes: |
Using the SplitWise Package with the mtcars Dataset (source, R code) |
| Package source: | SplitWise_1.0.2.tar.gz |
| Windows binaries: | r-devel: SplitWise_1.0.2.zip, r-release: SplitWise_1.0.2.zip, r-oldrel: SplitWise_1.0.2.zip |
| macOS binaries: | r-release (arm64): SplitWise_1.0.2.tgz, r-oldrel (arm64): SplitWise_1.0.2.tgz, r-release (x86_64): SplitWise_1.0.2.tgz, r-oldrel (x86_64): SplitWise_1.0.2.tgz |
| Old sources: | SplitWise archive |
Please use the canonical form https://CRAN.R-project.org/package=SplitWise to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.