Suppose that one can observe bivariate random variables (X, Y) only when X<=Y holds. Data (Xj, Yj), subject to Xj<=Yj, for all j=1,...,n, are called truncated data. For truncated data, several different approaches are implemented for statistical inference on (X, Y), when X and Y are dependent. Also included is truncated data on the number of deaths at each year (1963-1980) for Japanese male centenarians.

Version: | 2.6 |

Depends: | mvtnorm |

Published: | 2017-04-21 |

Author: | Takeshi Emura |

Maintainer: | Takeshi Emura <takeshiemura at gmail.com> |

License: | GPL-2 |

NeedsCompilation: | no |

CRAN checks: | depend.truncation results |

Reference manual: | depend.truncation.pdf |

Package source: | depend.truncation_2.6.tar.gz |

Windows binaries: | r-devel: depend.truncation_2.6.zip, r-release: depend.truncation_2.6.zip, r-oldrel: depend.truncation_2.6.zip |

OS X El Capitan binaries: | r-release: depend.truncation_2.6.tgz |

OS X Mavericks binaries: | r-oldrel: depend.truncation_2.6.tgz |

Old sources: | depend.truncation archive |

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