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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.

Version: 1.1.1
Depends: R (≥ 2.14.0), mvtnorm
Published: 2016-12-26
DOI: 10.32614/CRAN.package.tilting
Author: Haeran Cho [aut, cre], Piotr Fryzlewicz [aut]
Maintainer: Haeran Cho <haeran.cho at bristol.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: tilting results

Documentation:

Reference manual: tilting.pdf

Downloads:

Package source: tilting_1.1.1.tar.gz
Windows binaries: r-devel: tilting_1.1.1.zip, r-release: tilting_1.1.1.zip, r-oldrel: tilting_1.1.1.zip
macOS binaries: r-release (arm64): tilting_1.1.1.tgz, r-oldrel (arm64): tilting_1.1.1.tgz, r-release (x86_64): tilting_1.1.1.tgz, r-oldrel (x86_64): tilting_1.1.1.tgz
Old sources: tilting archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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