Package: splitSelect 1.0.3
splitSelect: Best Split Selection Modeling for Low-Dimensional Data
Functions to generate or sample from all possible splits of features or variables into a number of specified groups. Also computes the best split selection estimator (for low-dimensional data) as defined in Christidis, Van Aelst and Zamar (2019) <arxiv:1812.05678>.
Authors:
splitSelect_1.0.3.tar.gz
splitSelect_1.0.3.zip(r-4.5)splitSelect_1.0.3.zip(r-4.4)splitSelect_1.0.3.zip(r-4.3)
splitSelect_1.0.3.tgz(r-4.4-any)splitSelect_1.0.3.tgz(r-4.3-any)
splitSelect_1.0.3.tar.gz(r-4.5-noble)splitSelect_1.0.3.tar.gz(r-4.4-noble)
splitSelect_1.0.3.tgz(r-4.4-emscripten)splitSelect_1.0.3.tgz(r-4.3-emscripten)
splitSelect.pdf |splitSelect.html✨
splitSelect/json (API)
NEWS
| # Install 'splitSelect' in R: |
| install.packages('splitSelect', repos = c('https://anthonychristidis.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/anthonychristidis/splitselect/issues
Last updated 3 months agofrom:d1b98105a5. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win | OK | Nov 05 2024 |
| R-4.5-linux | OK | Nov 05 2024 |
| R-4.4-win | OK | Nov 05 2024 |
| R-4.4-mac | OK | Nov 05 2024 |
| R-4.3-win | OK | Nov 05 2024 |
| R-4.3-mac | OK | Nov 05 2024 |
Exports:cv.splitSelectgenerate_partitionsgenerate_splitsnsplitrsplitsplitSelectsplitSelect_coef
Dependencies:codetoolsdoParallelforeachglmnetiteratorslatticeMatrixmulticoolRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Coefficients for splitSelect object | coef.cv.splitSelect |
| Coefficients for splitSelect object | coef.splitSelect |
| Split Selection Modeling for Low-Dimensional Data - Cross-Validation | cv.splitSelect |
| Generate Splits Partitions Possibilities | generate_partitions |
| Generate Splits Possibilities | generate_splits |
| Compute Total Number of Possible Splits | nsplit |
| Predictions for cv.splitSelect object | predict.cv.splitSelect |
| Predictions for splitSelect object | predict.splitSelect |
| Generate Samples of Splits Possibilities | rsplit |
| Best Split Selection Modeling for Low-Dimensional Data | splitSelect |
| Split Selection for Regression - Coefficients Generation | splitSelect_coef |
