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


Reference manual: SPlit.pdf


Package source: SPlit_1.2.tar.gz
Windows binaries: r-devel: SPlit_1.2.zip, r-release: SPlit_1.2.zip, r-oldrel: SPlit_1.2.zip
macOS binaries: r-release (arm64): SPlit_1.2.tgz, r-oldrel (arm64): SPlit_1.2.tgz, r-release (x86_64): SPlit_1.2.tgz, r-oldrel (x86_64): SPlit_1.2.tgz
Old sources: SPlit archive


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