Description Usage Arguments Value Examples

Find the maximum likelihood estimate of the 2 by 4 contingency table assuming only Compliers and Never Takers in the population, under the sharp null for Compliers and with the multivariate hypergeometric sampling distribution.

1 2 | ```
FindMLE_CONT_H0_hypergeoR(n_y0x0z0, n_y1x0z0, n_y0x0z1, n_y1x0z1, n_y0x1z1,
n_y1x1z1)
``` |

`n_y0x0z0` |
Number of individuals with Y=0, X=0, Z=0. |

`n_y1x0z0` |
Number of individuals with Y=1, X=0, Z=0. |

`n_y0x0z1` |
Number of individuals with Y=0, X=0, Z=1. |

`n_y1x0z1` |
Number of individuals with Y=1, X=0, Z=1. |

`n_y0x1z1` |
Number of individuals with Y=0, X=1, Z=1. |

`n_y1x1z1` |
Number of individuals with Y=1, X=1, Z=1. |

The maximum likelihood under the sharp null for Compliers, and the corresponding (possibly non-unique) 2 by 4 contingency table.

1 | ```
FindMLE_CONT_H0_hypergeoR(158, 14, 52, 12, 23, 78)
``` |

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