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 |
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:
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