Description Usage Arguments Value Author(s) Examples

This function performs a grid search to find the lowest support level that has the desired coverage probability. It begins by searching a grid of relative likelihood values using a fixed number of parametric bootstraps at each point. The likelihood value is then refined using a golden section based search.

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`dat` |
This argument is the number of success if family='binomial', the number of occurences if family='poisson', or a vector of normal draws if family='normal'. |

`n` |
Number of trials if family='binomial' |

`family` |
Data type entered, accepts "binomial", "poisson", "pois", "gaussian", "normal" |

`conf.level` |
target confidence level |

`B` |
Number of parametric bootstraps to use to estimate coverage probability after the initial grid search. |

`gridlo` |
Lowest relative likelihood considered in the initial grid search |

`gridhi` |
Highest relative likelihood considered in the initial grid search |

`gridix` |
size of steps to be checked between gridlo and gridhi in initial search |

`tol` |
acceptable error in the likelihood support level returned |

`si ` |
The support interval estimated to have the desired confidence level |

`support.level ` |
The relative likelihood defining the interval's endpoints |

`init.grid ` |
Relative likelihoods checked as part of the initial gridsearch and their estimated coverage |

Derek Smith

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