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

`aver`

can be used to calculate the overall estimated average from a sample selection model, with corresponding confidence interval
obtained using the delta method.

1 |

`x` |
A fitted |

`sig.lev` |
Significance level. |

`sw` |
Survey weights. |

`univariate` |
It indicates whether the prevalence is calculated using a (naive/classic) univariate equation model or sample selection model. This option has been introduced to compared adjusted and unadjusted estimates. |

`delta` |
If TRUE then the delta method is used for confidence interval calculations, otherwise Bayesian posterior simulation is employed. |

`n.sim` |
Number of simulated coefficient vectors from the posterior distribution of the estimated model parameters. This is used when delta = FALSE. It may be increased if more precision is required. |

`aver`

estimates the overall average of an outcome of interest when there are missing values that are not at random.

`res` |
It returns three values: lower confidence interval limit, estimated average and upper confidence interval limit. |

`sig.lev` |
Significance level used. |

Maintainer: Giampiero Marra [email protected]

`SemiParSampleSel-package`

, `SemiParSampleSel`

, `summary.SemiParSampleSel`

1 | ```
## see examples for SemiParSampleSel
``` |

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