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.
| Version: | 1.2 |
| Imports: | Rcpp (≥ 1.0.4) |
| LinkingTo: | Rcpp,RcppArmadillo |
| Published: | 2022-03-22 |
| DOI: | 10.32614/CRAN.package.SPlit |
| Author: | Akhil Vakayil [aut, cre], Roshan Joseph [aut, ths], Simon Mak [aut] |
| Maintainer: | Akhil Vakayil <akhilv at gatech.edu> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | SPlit results[issues need fixing before 2025-12-18] |
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