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stepSplitReg

Stepwise Split Regularized Regression

v1.0.5 · Mar 30, 2025 · GPL (>= 2)

Description

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.

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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 22, 2026
ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 18, 2026
ERROR r-devel-windows-x86_64

whether package can be installed

Installation failed.
See 'd:/Rcompile/CRANpkg/local/4.6/stepSplitReg.Rcheck/00install.out' for details.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp SplitGLM nnls stepSplitReg

Version History

7 tracked
new 1.0.5 Mar 10, 2026
updated 1.0.5 ← 1.0.4 diff Mar 29, 2025
updated 1.0.4 ← 1.0.3 diff Dec 17, 2024
updated 1.0.3 ← 1.0.2 diff Nov 21, 2022
updated 1.0.2 ← 1.0.1 diff Jun 26, 2022
updated 1.0.1 ← 1.0.0 diff Mar 15, 2022
new 1.0.0 Mar 6, 2022