Description Usage Arguments Details Value Author(s) References See Also Examples

Function combines randomized full and half siblings with empirical values and non related random individuals to one multinomial logistic regression to calculate relatedness thresholds.

1 2 | ```
glm.prep(offfull.list, offhalf.list, offnon.list)
``` |

`offfull.list` |
Mean relatedness of populations randomized as full siblings over all loci from the reference population. |

`offhalf.list` |
Mean relatedness of populations randomized as half siblings over all loci from the reference population. |

`offnon.list` |
Mean relatedness of populations of randomized non relatives over all loci from the reference population. |

The function uses the package mlogit from Croissant 2011 to combine all the information from reference populations in one multilogistic regression model using `mlogit(...)`

. Thresholds are calculated and used for downstream calculations.

`sumlmr` |
Summary of mlogit model |

`half` |
Thresholds for full and half siblings |

Philipp Kraemer, <[email protected]>

Croissant, Y. 2011 mlogit: multinomial logit model R package version 0.2-2.

1 2 3 4 | ```
## internal function not intended for direct use
``` |

Demerelate documentation built on May 30, 2017, 8:14 a.m.

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