Package: SplitWise 1.0.2
SplitWise: Hybrid Stepwise Regression with Single-Split Dummy Encoding
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>.
Authors:
SplitWise_1.0.2.tar.gz
SplitWise_1.0.2.zip(r-4.7-any)SplitWise_1.0.2.zip(r-4.6-any)SplitWise_1.0.2.zip(r-4.5-any)
SplitWise_1.0.2.tgz(r-4.6-any)SplitWise_1.0.2.tgz(r-4.5-any)
SplitWise_1.0.2.tar.gz(r-4.7-any)SplitWise_1.0.2.tar.gz(r-4.6-any)
SplitWise_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SplitWise/json (API)
| # Install 'SplitWise' in R: |
| install.packages('SplitWise', repos = c('https://mtkurbucz-ucl.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:054bcaf378. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 111 | ||
| source / vignettes | OK | 196 | ||
| linux-release | OK | 150 | ||
| macos-release | OK | 112 | ||
| macos-oldrel | OK | 101 | ||
| windows-devel | OK | 72 | ||
| windows-release | OK | 83 | ||
| windows-oldrel | OK | 62 | ||
| wasm-release | OK | 84 |
Exports:splitwise
Dependencies:rpart
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| SplitWise Regression | coef.splitwise_lm fitted.splitwise_lm model.matrix.splitwise_lm predict.splitwise_lm print.splitwise_lm residuals.splitwise_lm splitwise summary.splitwise_lm |
