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 (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-devel-UCRT: SPlit_1.0.zip, r-release: SPlit_1.0.zip, r-oldrel: SPlit_1.0.zip
macOS binaries: r-release (arm64): SPlit_1.0.tgz, r-release (x86_64): SPlit_1.0.tgz, r-oldrel: SPlit_1.0.tgz


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