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.
- Version1.1.1
- R version≥ 2.14.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release12/26/2016
Team
Haeran Cho
Piotr Fryzlewicz
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- Depends2 packages