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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.
Package details |
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Author | Haeran Cho [aut, cre], Piotr Fryzlewicz [aut] |
Maintainer | Haeran Cho <haeran.cho@bristol.ac.uk> |
License | GPL (>= 2) |
Version | 1.1.1 |
Package repository | View on CRAN |
Installation |
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