Package: tilting 1.1.1

tilting: Variable Selection via Tilted Correlation Screening Algorithm

Implements an algorithm for variable selection in high-dimensional linear regression using the "tilted correlation", a new way of measuring the contribution of each variable to the response which takes into account high correlations among the variables in a data-driven way.

Authors:Haeran Cho [aut, cre], Piotr Fryzlewicz [aut]

tilting_1.1.1.tar.gz
tilting_1.1.1.zip(r-4.7)tilting_1.1.1.zip(r-4.6)tilting_1.1.1.zip(r-4.5)
tilting_1.1.1.tgz(r-4.6-any)tilting_1.1.1.tgz(r-4.5-any)
tilting_1.1.1.tar.gz(r-4.7-any)tilting_1.1.1.tar.gz(r-4.6-any)
tilting_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
tilting/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 8 scripts 163 downloads 7 exports 1 dependencies

Last updated from:0161472baa. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK119
source / vignettesOK162
linux-release-x86_64OK88
macos-release-arm64OK69
macos-oldrel-arm64OK92
windows-develOK61
windows-releaseOK65
windows-oldrelOK77
wasm-releaseOK90

Exports:col.normget.thrlse.betaprojectionselect.modelthreshtilting

Dependencies:mvtnorm