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Implements an algorithm for variable selection in highdimensional 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 datadriven way.
Package details 


Author  Haeran Cho [aut, cre], Piotr Fryzlewicz [aut] 
Date of publication  20161226 12:25:13 
Maintainer  Haeran Cho <haeran.cho@bristol.ac.uk> 
License  GPL (>= 2) 
Version  1.1.1 
Package repository  View on CRAN 
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