Description Usage Arguments Value Examples

Compute the sensitivity-adjusted estimates of predicted outcome given treatment/control

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`obj` |
data frame to analyze; must include columns $treat: Observed (binary) treatment, e.g., bail_set $resp_ctl: Predicted probability of positive resp given control, $resp_trt: Predicted probability of positive resp given treatment, $p_trt: predicted probability of treatment |

`q` |
p(u = 1 | x) |

`dp` |
change in log-odds of treat = 1 if u = 1 |

`d0` |
change in log-odds of response = 1 if treat = 0 and u = 1 |

`d1` |
change in log-odds of response = 1 if treat = 1 and u = 1 |

`debug` |
logical, whether or not to return columns of intermediate variables for debugging purposes |

`...` |
additional arguments are ignored |

A data frame with the columns resp_ctl and resp_trt updated according to the sensitivity parameters. If debug = TRUE, returned data frame will also contain columns of intermediate variables computed for sensitivity, appended with "__" (e.g., gamma__), with the original response estimates renamed as resp_trt_trt__ = resp_trt resp_ctl_ctl__ = resp_ctl

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