Description Usage Arguments Value Author(s) References

Fits the Multi-Modal Mallows' model to partial or full ranking data, using Kendall's metric and an EM algorithm. This is essentially metric sequence clustering.

1 2 |

`datas` |
Matrix of partial or fully-ranked data. |

`G` |
Number of modes, 2 or greater. |

`iter` |
Maximum number of iterations. |

`hyp` |
Hypothesis sequence vector, to initialize one of the cluster centers at. |

`plot.like` |
Should the likelihood be printed at each iteration? |

See output of FormatOut

Erik Gregory

"Mixtures of distance-based models for ranking data". Thomas Brendan Murphy & Donal Martin. 1 April 2002. Computational Statistics & Data Analysis 41 (2003) 645-655.

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