Description Usage Arguments Value Examples

Calculates the MLE of a sample size in a conditional hypergeometric distribution: the distribution of how many items are in the overlap of all samples when samples of arbitrary size are each taken without replacement from populations of arbitrary size.

1 | ```
mleM(population, k, s, n, m, verbose = T)
``` |

`population` |
the index of the unknown sample size |

`k` |
the observed overlaps |

`s` |
an integer representing the size of the intersecting population |

`n` |
a vector of integers representing the sizes of each non-intersecting population |

`m` |
a vector of integers representing the sample sizes where the value of the unknown sample size should be any integer as a placeholder |

`verbose` |
T/F should intermediate messages be printed? |

The maximum likelihood estimator of the unknown sample size

1 |

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