# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "SplitWise" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'SplitWise: Hybrid Stepwise Regression with Single-Split Dummy Encoding'
version: 1.0.2
doi: 10.32614/CRAN.package.SplitWise
abstract: 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) <https://doi.org/10.48550/arXiv.2505.15423>.
authors:
- family-names: Kurbucz
  given-names: Marcell T.
  email: m.kurbucz@ucl.ac.uk
- family-names: Tzivanakis
  given-names: Nikolaos
- family-names: Aslam
  given-names: Nilufer Sari
- family-names: Sykulski
  given-names: Adam M.
repository: https://mtkurbucz-ucl.r-universe.dev
commit: 054bcaf37843a8fa7b05c579e1cf2b5a5d62a3e3
date-released: '2025-07-31'
contact:
- family-names: Kurbucz
  given-names: Marcell T.
  email: m.kurbucz@ucl.ac.uk