Package: maxtwin 0.1.0

Youngseo Cho

maxtwin: A Robust Deterministic Data Splitting Method

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.

Authors:Youngseo Cho [aut, cre], V. Roshan Joseph [aut]

maxtwin_0.1.0.tar.gz
maxtwin_0.1.0.zip(r-4.7-any)maxtwin_0.1.0.zip(r-4.6-any)
maxtwin_0.1.0.tar.gz(r-4.7-any)maxtwin_0.1.0.tar.gz(r-4.6-any)
maxtwin_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
maxtwin/json (API)

# Install 'maxtwin' in R:
install.packages('maxtwin', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 2 exports 3 dependencies

Last updated from:23168c1315. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK135
source / vignettesOK170
linux-releaseOK113
windows-develOK61
windows-releaseOK59
wasm-releaseOK101

Exports:initialmaxtwinmaxtwin

Dependencies:FNNRcpptwinning