tilting: Variable Selection via Tilted Correlation Screening Algorithm

Research output: Non-textual formSoftware

Abstract

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.

Original languageEnglish
PublisherCRAN
Publication statusPublished - 26 Dec 2016

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