IMIS algorithm draws samples from the posterior distribution. The user has to define the following R functions in advance: prior(x) calculates prior density of x, likelihood(x) calculates the likelihood of x, and sample.prior(n) draws n samples from the prior distribution.

Version: | 0.1 |

Depends: | mvtnorm |

Published: | 2012-10-29 |

Author: | Adrian Raftery, Le Bao |

Maintainer: | Le Bao <lebao at uw.edu> |

License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |

URL: | http://www.stat.washington.edu/research/reports/2009/tr560.pdf |

NeedsCompilation: | no |

CRAN checks: | IMIS results |

Reference manual: | IMIS.pdf |

Package source: | IMIS_0.1.tar.gz |

Windows binaries: | r-devel: IMIS_0.1.zip, r-release: IMIS_0.1.zip, r-oldrel: IMIS_0.1.zip |

OS X Snow Leopard binaries: | r-release: IMIS_0.1.tgz, r-oldrel: IMIS_0.1.tgz |

OS X Mavericks binaries: | r-release: IMIS_0.1.tgz |

Old sources: | IMIS archive |

Reverse imports: | vitality |