Package: splitSelect 1.0.3

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>.

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

splitSelect_1.0.3.tar.gz
splitSelect_1.0.3.zip(r-4.5)splitSelect_1.0.3.zip(r-4.4)splitSelect_1.0.3.zip(r-4.3)
splitSelect_1.0.3.tgz(r-4.4-any)splitSelect_1.0.3.tgz(r-4.3-any)
splitSelect_1.0.3.tar.gz(r-4.5-noble)splitSelect_1.0.3.tar.gz(r-4.4-noble)
splitSelect_1.0.3.tgz(r-4.4-emscripten)splitSelect_1.0.3.tgz(r-4.3-emscripten)
splitSelect.pdf |splitSelect.html✨
splitSelect/json (API)
NEWS

# Install 'splitSelect' in R:
install.packages('splitSelect', repos = c('https://anthonychristidis.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/anthonychristidis/splitselect/issues

On CRAN:

2.70 score 4 scripts 156 downloads 7 exports 12 dependencies

Last updated 5 months agofrom:d1b98105a5. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 04 2025
R-4.5-winOKJan 04 2025
R-4.5-linuxOKJan 04 2025
R-4.4-winOKJan 04 2025
R-4.4-macOKJan 04 2025
R-4.3-winOKJan 04 2025
R-4.3-macOKJan 04 2025

Exports:cv.splitSelectgenerate_partitionsgenerate_splitsnsplitrsplitsplitSelectsplitSelect_coef

Dependencies:codetoolsdoParallelforeachglmnetiteratorslatticeMatrixmulticoolRcppRcppEigenshapesurvival