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) <arXiv:1812.05678>.

Getting started

Package details

AuthorAnthony Christidis <anthony.christidis@stat.ubc.ca>, Stefan Van Aelst <stefan.vanaelst@kuleuven.be>, Ruben Zamar <ruben@stat.ubc.ca>
MaintainerAnthony Christidis <anthony.christidis@stat.ubc.ca>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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splitSelect documentation built on Nov. 9, 2021, 9:07 a.m.