`AT2`

can be used to calculate the sample average treatment effect from a two-part model, with
corresponding interval obtained using posterior simulation.

1 2 3 4 |

`x1` |
A fitted |

`x2` |
A fitted |

`index1` |
This is useful to pick a particular individual. |

`index2` |
As above. |

`n.sim` |
Number of simulated coefficient vectors from the posterior distribution of the estimated model parameters. This is used
when |

`prob.lev` |
Overall probability of the left and right tails of the AT distribution used for interval calculations. |

`hd.plot` |
If |

`main` |
Title for the plot. |

`xlab` |
Title for the x axis. |

`...` |
Other graphics parameters to pass on to plotting commands. These are used only when |

AT measures the sample average effect from a two-part model when a binary response (associated with a continuous outcome) takes values 0 and 1. Posterior simulation is used to obtain a confidence/credible interval.

This function is not suitable for `SemiParBIVProbit()`

.

Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk

`SemiParBIVProbit-package`

, `SemiParBIVProbit`

, `summary.SemiParBIVProbit`

1 | ```
## see examples for SemiParBIVProbit
``` |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.