Regression model where the response variable is a rank-indexed compositional vector (non-negative values that sum up to one and are ordered from the largest to the smallest). Parameters are estimated in the Bayesian framework using MCMC methods.

Version: | 1.1 |

Depends: | R (≥ 3.2.1), coda, bayesm |

Published: | 2015-08-10 |

Author: | Arturas Rozenas, New York University |

Maintainer: | Arturas Rozenas <ar199 at nyu.edu> |

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

NeedsCompilation: | no |

CRAN checks: | ocomposition results |

Reference manual: | ocomposition.pdf |

Package source: | ocomposition_1.1.tar.gz |

Windows binaries: | r-devel: ocomposition_1.1.zip, r-release: ocomposition_1.1.zip, r-oldrel: ocomposition_1.1.zip |

OS X Mavericks binaries: | r-release: ocomposition_1.1.tgz, r-oldrel: ocomposition_1.1.tgz |

Old sources: | ocomposition archive |