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splitSelect  

Best Split Selection Modeling for Low-Dimensional Data
View on CRAN: Click here


Download and install splitSelect package within the R console
Install from CRAN:
install.packages("splitSelect")

Install from Github:
library("remotes")
install_github("cran/splitSelect")

Install by package version:
library("remotes")
install_version("splitSelect", "1.0.3")



Attach the package and use:
library("splitSelect")
Maintained by
Anthony Christidis
[Scholar Profile | Author Map]
First Published: 2020-03-08
Latest Update: 2021-11-09
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) <doi:10.48550/arXiv.1812.05678>.
How to cite:
Anthony Christidis (2020). splitSelect: Best Split Selection Modeling for Low-Dimensional Data. R package version 1.0.3, https://cran.r-project.org/web/packages/splitSelect. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0.0 (2020-03-08 18:20), 1.0.1 (2020-09-01 08:40), 1.0.2 (2021-10-08 18:40)
Other packages that cited splitSelect R package
View splitSelect citation profile
Other R packages that splitSelect depends, imports, suggests or enhances
Complete documentation for splitSelect
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