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.
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.