Stepwise Split Regularized Regression R package stepSplitReg version 1.0.5 Functions to perform stepwise split regularized regression. The approach first uses a stepwise algorithm to split the variables into the models with a goodness of fit criterion, and then regularization is applied to each model. The weights of the models in the ensemble are determined based on a criterion selected by the user. Software Imports: Rcpp (>= 1.0.7), SplitGLM, nnls LinkingTo: Rcpp, RcppArmadillo Suggests: testthat, mvnfast, vctrs Anthony Christidis <anthony.christidis@stat.ubc.ca> Comprehensive R Archive Network (CRAN) Anthony Christidis [aut, cre], Stefan Van Aelst [aut], Ruben Zamar [aut] GPL (>= 2) 2025-03-30 application/tgz https://CRAN.R-project.org/package=stepSplitReg doi:10.32614/CRAN.package.stepSplitReg