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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 |
| Reference manual: | tilting.pdf |
| 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 |
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