Best Split Selection Modeling for Low-Dimensional Data R package splitSelect version 1.0.3 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) <arXiv:1812.05678>. Software Imports: multicool, glmnet, parallel, doParallel, foreach Suggests: testthat, mvnfast Anthony Christidis <anthony.christidis@stat.ubc.ca> Comprehensive R Archive Network (CRAN) Anthony Christidis <anthony.christidis@stat.ubc.ca>, Stefan Van Aelst <stefan.vanaelst@kuleuven.be>, Ruben Zamar <ruben@stat.ubc.ca> GPL (>= 2) 2021-11-09 application/tgz https://CRAN.R-project.org/package=splitSelect doi:10.32614/CRAN.package.splitSelect