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) .


Reference manual

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1.0.3 by Anthony Christidis, a month ago

Browse source code at

Authors: Anthony Christidis <[email protected]> , Stefan Van Aelst <[email protected]> , Ruben Zamar <[email protected]>

Documentation:   PDF Manual  

GPL (>= 2) license

Imports multicool, glmnet, parallel, doParallel, foreach

Suggests testthat, mvnfast

See at CRAN