Package: splitSelect
Type: Package
Title: Best Split Selection Modeling for Low-Dimensional Data
Version: 1.0.3
Date: 2021-11-08
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Stefan Van
        Aelst <stefan.vanaelst@kuleuven.be>, Ruben Zamar
        <ruben@stat.ubc.ca>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: 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>.
License: GPL (>= 2)
Biarch: true
Imports: multicool, glmnet, parallel, doParallel, foreach
RoxygenNote: 7.1.1
Suggests: testthat, mvnfast
Repository: https://anthonychristidis.r-universe.dev
Date/Publication: 2024-09-02 18:28:54 UTC
RemoteUrl: https://github.com/anthonychristidis/splitselect
RemoteRef: HEAD
RemoteSha: d1b98105a54e6433342cc1c0d3af5de98c2da267
NeedsCompilation: no
Packaged: 2026-06-23 09:15:42 UTC; root