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)splitSelect_1.0.3.zip(r-4.6)splitSelect_1.0.3.zip(r-4.5)
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✨
card.svg |card.png
splitSelect/json (API)
NEWS

# 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:

2.70 score 4 scripts 220 downloads 7 exports 12 dependencies

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

Target	Result	Time
linux-devel-x86_64	OK	126
source / vignettes	OK	181
linux-release-x86_64	OK	109
macos-release-arm64	OK	76
macos-oldrel-arm64	OK	70
windows-devel	OK	94
windows-release	OK	100
windows-oldrel	OK	135
wasm-release	OK	107

Exports:cv.splitSelect generate_partitions generate_splits nsplit rsplit splitSelect splitSelect_coef

Dependencies:codetools doParallel foreach glmnet iterators lattice Matrix multicool Rcpp RcppEigen shape survival

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Coefficients for splitSelect object	coef.cv.splitSelect
Coefficients for splitSelect object	coef.splitSelect
Split Selection Modeling for Low-Dimensional Data - Cross-Validation	cv.splitSelect
Generate Splits Partitions Possibilities	generate_partitions
Generate Splits Possibilities	generate_splits
Compute Total Number of Possible Splits	nsplit
Predictions for cv.splitSelect object	predict.cv.splitSelect
Predictions for splitSelect object	predict.splitSelect
Generate Samples of Splits Possibilities	rsplit
Best Split Selection Modeling for Low-Dimensional Data	splitSelect
Split Selection for Regression - Coefficients Generation	splitSelect_coef