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-4.7-any)splitSelect_1.0.3.zip(r-4.6-any)splitSelect_1.0.3.zip(r-4.5-any)
splitSelect_1.0.3.tgz(r-4.6-any)splitSelect_1.0.3.tgz(r-4.5-any)
splitSelect_1.0.3.tar.gz(r-4.7-any)splitSelect_1.0.3.tar.gz(r-4.6-any)
splitSelect_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
splitSelect/json (API)

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

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

On CRAN:

Conda:

2.70 score 243 downloads 7 exports 12 dependencies

Last updated from:d1b98105a5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK124
source / vignettesOK193
linux-releaseOK181
macos-releaseOK114
macos-oldrelOK96
windows-develOK78
windows-releaseOK78
windows-oldrelOK85
wasm-releaseOK116

Exports:cv.splitSelectgenerate_partitionsgenerate_splitsnsplitrsplitsplitSelectsplitSelect_coef

Dependencies:codetoolsdoParallelforeachglmnetiteratorslatticeMatrixmulticoolRcppRcppEigenshapesurvival