Match outcomes from repeated doubles tennis matches

1 |

A hyperdirichlet object corresponding to the match outcomes listed below.

There are four players, *p1* to *p4*. These players
play doubles tennis matches with the following results:

match | score |

{p1,p2} vs {p3,p4} | 9-2 |

{p1,p3} vs {p2,p4} | 4-4 |

{p1,p4} vs {p2,p3} | 6-7 |

{p1} vs {p3} | 10-14 |

{p2} vs {p3} | 12-14 |

{p1} vs {p4} | 10-14 |

{p2} vs {p4} | 11-10 |

{p3} vs {p4} | 13-13 |

It is suspected that *p1* and *p2* have some form of
team cohesion and play better when paired than when either solo or with
other players. As the scores show, each player and, apart from p1-p2,
each doubles partnership, is of approximately the same strength.

Dataset `doubles_noghost`

gives the appropriate likelihood function
for the players' strengths; and dataset `doubles`

gives the
appropriate likelihood function if the extra strength due to team
cohesion of *{p1,p2}* is represented by a
ghost player.

Doubles tennis matches at NOCS, Jan-May 2008

Robin K. S. Hankin (2010).
“A Generalization of the Dirichlet Distribution”,
*Journal of Statistical Software*, 33(11), 1-18,
http://www.jstatsoft.org/v33/i11/

1 |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.