Description Details Author(s) References Examples

Implements an algorithm for variable selection in high-dimensional linear regression using the "tilted correlation", a 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: | tilting |

Type: | Package |

Version: | 1.1.1 |

Date: | 2016-12-22 |

License: | GPL (>= 2) |

LazyLoad: | yes |

The main function of the package is `tilting`

.

Haeran Cho, Piotr Fryzlewicz

Maintainer: Haeran Cho <haeran.cho@bristol.ac.ukk>

H. Cho and P. Fryzlewicz (2012) High-dimensional variable selection via tilting, Journal of the Royal Statistical Society Series B, 74: 593-622.

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