Simulate via Markov chain Monte Carlo (hit-and-run algorithm) a Dirichlet distribution conditioned to satisfy a finite set of linear equality and inequality constraints (hence to lie in a convex polytope that is a subset of the unit simplex).

Version: | 1.4-2 |

Depends: | R (≥ 3.0.0), rcdd (≥ 1.1-5) |

Imports: | boot, stats |

Published: | 2015-07-08 |

Author: | Glen Meeden and Radu Lazar and Charles J. Geyer |

Maintainer: | Glen Meeden <glen at stat.umn.edu> |

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

NeedsCompilation: | yes |

CRAN checks: | polyapost results |

Reference manual: | polyapost.pdf |

Vignettes: |
Polyapost Package Tutorial |

Package source: | polyapost_1.4-2.tar.gz |

Windows binaries: | r-devel: polyapost_1.4-2.zip, r-release: polyapost_1.4-2.zip, r-oldrel: polyapost_1.4-2.zip |

OS X Snow Leopard binaries: | r-release: polyapost_1.4-2.tgz, r-oldrel: polyapost_1.1-6.tgz |

OS X Mavericks binaries: | r-release: polyapost_1.4-2.tgz |

Old sources: | polyapost archive |

Reverse imports: | sisus |