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CRAN: Package splitSelect

splitSelect: Best Split Selection Modeling for Low-Dimensional Data

Functions to generate or sample from all possible splits of features or variables into a number of specified groups. Also computes the best split selection estimator (for low-dimensional data) as defined in Christidis, Van Aelst and Zamar (2019) <doi:10.48550/arXiv.1812.05678>.

Version: 1.0.3 Imports: multicool, glmnet, parallel, doParallel, foreach Suggests: testthat, mvnfast Published: 2021-11-09 DOI: 10.32614/CRAN.package.splitSelect Author: Anthony Christidis, Stefan Van Aelst, Ruben Zamar Maintainer: Anthony Christidis <anthony.christidis at stat.ubc.ca> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no Materials: README NEWS CRAN checks: splitSelect results Documentation: Reference manual: splitSelect.pdf Downloads: Package source: splitSelect_1.0.3.tar.gz Windows binaries: r-devel: splitSelect_1.0.3.zip, r-release: splitSelect_1.0.3.zip, r-oldrel: splitSelect_1.0.3.zip macOS binaries: r-release (arm64): splitSelect_1.0.3.tgz, r-oldrel (arm64): splitSelect_1.0.3.tgz, r-release (x86_64): splitSelect_1.0.3.tgz, r-oldrel (x86_64): splitSelect_1.0.3.tgz Old sources: splitSelect archive Linking:

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