Package: stepSplitReg 1.0.3
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_1.0.3.tar.gz
stepSplitReg_1.0.3.tar.gz(r-4.5-noble)stepSplitReg_1.0.3.tar.gz(r-4.4-noble)
stepSplitReg_1.0.3.tgz(r-4.4-emscripten)stepSplitReg_1.0.3.tgz(r-4.3-emscripten)
stepSplitReg.pdf |stepSplitReg.html✨
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 2 years agofrom:3f547d7b23. Checks:OK: 1 ERROR: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 02 2024 |
R-4.5-linux-x86_64 | ERROR | Dec 02 2024 |
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 |