Package: SplitWise
Type: Package
Title: Hybrid Stepwise Regression with Single-Split Dummy Encoding
Version: 1.0.2
Authors@R: c(
  person("Marcell T.", "Kurbucz", email = "m.kurbucz@ucl.ac.uk", role = c("aut", "cre")),
  person("Nikolaos", "Tzivanakis", role = "aut"),
  person("Nilufer Sari", "Aslam", role = "aut"),
  person("Adam M.", "Sykulski", role = "aut"))
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>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: rpart, stats
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-13 08:16:35 UTC; root
Author: Marcell T. Kurbucz [aut, cre], Nikolaos Tzivanakis [aut],
        Nilufer Sari Aslam [aut], Adam M. Sykulski [aut]
Maintainer: Marcell T. Kurbucz <m.kurbucz@ucl.ac.uk>
Repository: https://mtkurbucz-ucl.r-universe.dev
Date/Publication: 2025-07-31 05:46:58 UTC
RemoteUrl: https://github.com/cran/SplitWise
RemoteRef: HEAD
RemoteSha: 054bcaf37843a8fa7b05c579e1cf2b5a5d62a3e3