Description Usage Arguments References See Also

Apply bevimed to the no association model (gamma = 0) and multiple association models for different sets of variants, for instance, corresponding to different functional consequences.

1 2 3 4 5 6 7 8 9 10 11 |

`y` |
Logical vector of case ( |

`G` |
Integer matrix of variant counts per individual, one row per individual and one column per variant. |

`ploidy` |
Integer vector giving ploidy of samples. |

`variant_sets` |
List of integer vectors corresponding to sets of indices of |

`prior_prob_association` |
The prior probability of association. |

`tau0_shape` |
Beta shape hyper-priors for prior on rate of case labels. |

`moi` |
Character vector giving mode of inheritance for each model. |

`model_specific_args` |
List of named lists of parameters to use in |

`...` |
Other arguments to pass to |

Greene et al., A Fast Association Test for Identifying Pathogenic Variants Involved in Rare Diseases, The American Journal of Human Genetics (2017), http://dx.doi.org/10.1016/j.ajhg.2017.05.015.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.