Description Usage Arguments References See Also Examples

This function implements the fence procedure to find the best linear model.

1 |

`mf` |
an object of class |

`cstar` |
the boundary of the fence, typically found through bootstrapping. |

`nvmax` |
the maximum number of variables that will be be considered in the model. |

`adaptive` |
logical. If |

`trace` |
logical. If |

`force.in` |
the names of variables that should be forced into all estimated models. |

`...` |
further arguments (currently unused) |

Jiming Jiang, Thuan Nguyen, J. Sunil Rao, A simplified adaptive fence procedure, Statistics & Probability Letters, Volume 79, Issue 5, 1 March 2009, Pages 625-629, http://dx.doi.org/10.1016/j.spl.2008.10.014.

Other fence:
`af()`

,
`glmfence()`

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