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

`OR`

can be used to calculate the causal odds ratio of a binary/continuous/discrete endogenous predictor/treatment, with
corresponding interval obtained using posterior simulation.

1 2 3 4 5 |

`x` |
A fitted |

`nm.end` |
Name of the endogenous variable. |

`E` |
If |

`treat` |
If |

`type` |
This argument can take three values: |

`ind` |
Binary logical variable. It can be used to calculate the OR for a subset of the data. Note that it does not make sense to use |

`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 OR distribution used for interval calculations. |

`length.out` |
Ddesired length of the sequence to be used when calculating the effect that a continuous/discrete treatment has on a binary outcome. |

`hd.plot` |
If |

`or.plot` |
For the case of continuous/discrete endogenous variable and binary outcome, 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 |

OR calculates the causal odds ratio for a binary/continuous/discrete treatment. Posterior simulation is used to obtain a confidence/credible interval.

`prob.lev` |
Probability level used. |

`sim.OR` |
It returns a vector containing simulated values of the average OR. This is used to calculate intervals. |

`Ratios` |
For the case of continuous/discrete endogenous treatment and binary outcome, it returns a matrix made up of three columns containing the odds ratios for each incremental value in the endogenous variable and respective intervals. |

Maintainer: Giampiero Marra [email protected]

`JRM-package`

, `SemiParBIV`

, `copulaReg`

1 | ```
## see examples for SemiParBIV and copulaReg
``` |

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