## depend.truncation: Statistical Inference for Parametric and Semiparametric Models
Based on Dependently Truncated Data

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: |
2.5 |

Depends: |
mvtnorm |

Published: |
2016-04-14 |

Author: |
Takeshi Emura |

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

License: |
GPL-2 |

NeedsCompilation: |
no |

CRAN checks: |
depend.truncation results |

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