Package: SPlit 1.2
Akhil Vakayil
SPlit: Split a Dataset for Training and Testing
Procedure to optimally split a dataset for training and testing. 'SPlit' is based on the method of support points, which is independent of modeling methods. Please see Joseph and Vakayil (2021) <doi:10.1080/00401706.2021.1921037> for details. This work is supported by U.S. National Science Foundation grant DMREF-1921873.
Authors:
SPlit_1.2.tar.gz
SPlit_1.2.tar.gz(r-4.5-noble)SPlit_1.2.tar.gz(r-4.4-noble)
SPlit_1.2.tgz(r-4.4-emscripten)SPlit_1.2.tgz(r-4.3-emscripten)
SPlit.pdf |SPlit.html✨
SPlit/json (API)
| # Install 'SPlit' in R: |
| install.packages('SPlit', 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:a3c2bbc02f. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 06 2024 |
| R-4.5-linux-x86_64 | NOTE | Sep 06 2024 |
Exports:SPlitsplitratiosubsample
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| SPlit | SPlit-package |
| Split a dataset for training and testing | SPlit |
| Optimal splitting ratio | splitratio |
| Nearest neighbor subsampling | subsample |