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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 (in press) for details. This work is supported by U.S. National Science Foundation grant DMS-2310637.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | FNN, twinning (≥ 1.1) |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-10-29 |
| DOI: | 10.32614/CRAN.package.maxtwin (may not be active yet) |
| 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_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: maxtwin_0.1.0.zip, r-oldrel: not available |
| 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 |
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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.