For a general posterior density, computes the posterior mode, the associated variance-covariance matrix, and an estimate at the logarithm at the normalizing constant.

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`logpost` |
function that defines the logarithm of the posterior density |

`mode` |
vector that is a guess at the posterior mode |

`...` |
vector or list of parameters associated with the function logpost |

`mode` |
current estimate at the posterior mode |

`var` |
current estimate at the associated variance-covariance matrix |

`int` |
estimate at the logarithm of the normalizing constant |

`converge` |
indication (TRUE or FALSE) if the algorithm converged |

Jim Albert

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