Usage Arguments Value Author(s)

1 |

`data` |
list with components $x$ and $y$ |

`index` |
group membership indicator |

`weights` |
group weights for regularization penalty |

`alpha` |
tradeoff between lasso penalty and group lasso penalty. |

`min.frac` |
minimum regularization parameter lambda as a fraction of the largest |

`nlam` |
number of lambda values along the path |

`type` |
type of regression model: |

A vector of `nlam`

lambda values

David Degras

kouroshz/creNet documentation built on Feb. 25, 2018, 12:41 p.m.

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