Package: SPlit 1.3
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_1.3.tar.gz
SPlit_1.3.tar.gz(r-4.7-arm64)SPlit_1.3.tar.gz(r-4.7-x86_64)SPlit_1.3.tar.gz(r-4.6-arm64)SPlit_1.3.tar.gz(r-4.6-x86_64)
SPlit_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:b65f1a2517. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 110 | ||
| linux-devel-x86_64 | OK | 109 | ||
| source / vignettes | OK | 161 | ||
| linux-release-arm64 | OK | 108 | ||
| linux-release-x86_64 | OK | 114 | ||
| wasm-release | OK | 106 |
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 |