Package: stepSplitReg 1.0.5
Anthony Christidis
stepSplitReg: Stepwise Split Regularized Regression
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.
Authors:
stepSplitReg_1.0.5.tar.gz
stepSplitReg_1.0.5.tar.gz(r-4.7-arm64)stepSplitReg_1.0.5.tar.gz(r-4.7-x86_64)stepSplitReg_1.0.5.tar.gz(r-4.6-arm64)stepSplitReg_1.0.5.tar.gz(r-4.6-x86_64)
stepSplitReg_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
stepSplitReg/json (API)
NEWS
| # Install 'stepSplitReg' in R: |
| install.packages('stepSplitReg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:8eb76735d1. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 158 | ||
| linux-devel-x86_64 | OK | 149 | ||
| source / vignettes | OK | 184 | ||
| linux-release-arm64 | OK | 170 | ||
| linux-release-x86_64 | OK | 154 | ||
| wasm-release | OK | 140 |
Exports:cv.stepSplitRegstepSplitReg
Dependencies:nnlsRcppRcppArmadilloSplitGLM
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Coefficients for cv.stepSplitReg Object | coef.cv.stepSplitReg |
| Coefficients for stepSplitReg Object | coef.stepSplitReg |
| Cross Validation - Stepwise Split Regularized Regression | cv.stepSplitReg |
| Predictions for cv.stepSplitReg Object | predict.cv.stepSplitReg |
| Predictions for stepSplitReg Object | predict.stepSplitReg |
| Stepwise Split Regularized Regression | stepSplitReg |
