AnthonyChristidis/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
Browse package contents
Package details |
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| 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> |
| License | GPL (>= 2) |
| Version | 1.0.3 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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