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SplitWise  

Hybrid Stepwise Regression with Single-Split Dummy Encoding
View on CRAN: Click here


Download and install SplitWise package within the R console
Install from CRAN:
install.packages("SplitWise")

Install from Github:
library("remotes")
install_github("cran/SplitWise")

Install by package version:
library("remotes")
install_version("SplitWise", "1.0.2")



Attach the package and use:
library("SplitWise")
Maintained by
Marcell T. Kurbucz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-28
Latest Update: 2025-07-31
Description:
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>.
How to cite:
Marcell T. Kurbucz (2025). SplitWise: Hybrid Stepwise Regression with Single-Split Dummy Encoding. R package version 1.0.2, https://cran.r-project.org/web/packages/SplitWise. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:26), 1.0.0 (2025-05-28 18:00)
Other packages that cited SplitWise R package
View SplitWise citation profile
Other R packages that SplitWise depends, imports, suggests or enhances
Complete documentation for SplitWise
Functions, R codes and Examples using the SplitWise R package
Full SplitWise package functions and examples
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