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
NeedsCompilation: no
Packaged: 2021-11-09 04:02:22 UTC; antho
Repository: CRAN
Date/Publication: 2021-11-09 06:00:02 UTC
Built: R 4.6.0; ; 2026-04-28 11:37:48 UTC; unix
