Description Usage Arguments Value

This function uses a pseudo-MC3 algorithm to search the outcome model space.

1 |

`Y` |
vector of the outcome |

`X` |
vector of the treatment (0/1) |

`U` |
matrix of covariates to be considered for inclusion/exclusion |

`W` |
matrix of covariates that will be included in all models (optional) |

`M` |
the number of MCMC iteration |

`alpha` |
vector of inclusion indicators (which columns of U) to start MCMC algorithm (optional) |

`binary` |
indicator if the outcome is binary (optional) |

A list. The list contains the following named components:

`dict` |
a list that contains the BIC, predicted values, and estimated treatment effect from each outcome model |

`alpha` |
the last model visited by the algorithm |

`out.table` |
a matrix that contains the BIC and estimated treatment effect from each outcome model |

mcefalu/madr documentation built on May 22, 2017, 1:11 a.m.

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