Provides a deterministic method for splitting data into training and testing sets that maximizes the distance between training and testing points while preserving their distributions. See Joseph and Cho (2026) <doi:10.1080/10618600.2026.2754089> for details. This work is supported by U.S. National Science Foundation grant DMS-2310637.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | FNN, twinning (≥ 1.1) |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-11-02 |
| DOI: | 10.32614/CRAN.package.maxtwin |
| Author: | Youngseo Cho [aut, cre], V. Roshan Joseph [aut] |
| Maintainer: | Youngseo Cho <ycho397 at gatech.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | maxtwin results |
| Reference manual: | maxtwin.html , maxtwin.pdf |
| Package source: | maxtwin_0.1.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: maxtwin_0.1.0.zip, r-oldrel: maxtwin_0.1.0.zip |
| macOS binaries: | r-release (arm64): maxtwin_0.1.0.tgz, r-oldrel (arm64): maxtwin_0.1.0.tgz, r-release (x86_64): maxtwin_0.1.0.tgz, r-oldrel (x86_64): maxtwin_0.1.0.tgz |
| Old sources: | maxtwin archive |
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