Description Usage Arguments Value

This function yields extreme value bounds under the assumption that the outcomes of 1-delta of the missing second-round units are ignorable, that is, that they are drawn from an unknown distribution with mean and variance equal to the observed second-round groups.

1 2 | ```
estimator_ds_sens(Y, Z, R1, Attempt, R2, minY, maxY, delta, strata = NULL,
alpha = 0.05, data)
``` |

`Y` |
The (unquoted) outcome variable. Must be numeric. |

`Z` |
The (unquoted) assignment indicator variable. Must be numeric and take values 0 or 1. |

`R1` |
The (unquoted) initial sample respose indicator variable. Must be numeric and take values 0 or 1. |

`Attempt` |
The (unquoted) follow-up sample attempt indicator variable. Must be numeric and take values 0 or 1. |

`R2` |
The (unquoted) follow-up sample respose indicator variable. Must be numeric and take values 0 or 1. |

`minY` |
The minimum possible value of the outcome (Y) variable. |

`maxY` |
The maximum possible value of the outcome (Y) variable. |

`strata` |
A single (unquoted) variable that indicates which strata units are in. |

`alpha` |
The desired significance level. 0.05 by default. |

`data` |
A dataframe |

`sims` |
Number of points at which to evaluate sensitivity test. Defaults to 100 |

A list containing a ggplot object, a dataframe of simulated bounds and cis, and a value of pstar, if it exists.

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