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 (2020) <arXiv:2012.10945> for details. This work is supported by U.S. National Science Foundation grant CBET-1921873.
| Version: | 1.0 |
| Imports: | Rcpp (≥ 1.0.4) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2021-01-22 |
| 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 |
| Reference manual: | SPlit.pdf |
| Package source: | SPlit_1.0.tar.gz |
| Windows binaries: | r-devel: SPlit_1.0.zip, r-release: SPlit_1.0.zip, r-oldrel: SPlit_1.0.zip |
| macOS binaries: | r-release: SPlit_1.0.tgz, r-oldrel: SPlit_1.0.tgz |
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