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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

Documentation:

Reference manual: SPlit.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SPlit to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.