Statistical distribution in OOP (Object Oriented Programming) way. This package proposes a R6 class interface to classic statistical distribution, and new distributions can be easily added with the class AbstractDist. A useful point is the generic fit() method for each class, which uses a maximum likelihood estimation to find the parameters of a dataset, see, e.g. Hastie, T. and al (2009) <isbn:978-0-387-84857-0>. Furthermore, the rv_histogram class gives a non-parametric fit, with the same accessors that for the classic distribution. Finally, three random generators useful to build synthetic data are given: a multivariate normal generator, an orthogonal matrix generator, and a symmetric positive definite matrix generator, see Mezzadri, F. (2007) <arXiv:math-ph/0609050>.

Version: | 0.2.5 |

Depends: | R (≥ 3.3) |

Imports: | methods, R6, Lmoments |

Published: | 2020-08-26 |

Author: | Yoann Robin [aut, cre] |

Maintainer: | Yoann Robin <yoann.robin.k at gmail.com> |

License: | CeCILL-2 |

URL: | https://github.com/yrobink/ROOPSD |

NeedsCompilation: | no |

In views: | Distributions |

CRAN checks: | ROOPSD results |

Reference manual: | ROOPSD.pdf |

Package source: | ROOPSD_0.2.5.tar.gz |

Windows binaries: | r-devel: ROOPSD_0.2.5.zip, r-release: ROOPSD_0.2.5.zip, r-oldrel: ROOPSD_0.2.5.zip |

macOS binaries: | r-release: ROOPSD_0.2.5.tgz, r-oldrel: ROOPSD_0.2.5.tgz |

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