Movatterモバイル変換


[0]ホーム

URL:


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.html ,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:

Please use the canonical formhttps://CRAN.R-project.org/package=splitSelectto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp