Given bootstrap output of functions such as `lllcrc`

or
`vgam.crc`

, produce confidence intervals corresponding to a selection
of covariate vectors.

1 2 | ```
extract.CI(mod, probs = c(0.025, 0.975), cont.var = "x.con.1",
selection = NULL)
``` |

`mod` |
The object that is output by a |

`probs` |
A vector c(a,b), with 0<a<b<1, marking the upper and lower probability bounds of the desired confidence interval |

`cont.var` |
The name of one continuous covariate to serve as the primary index of the ordered set of confidence intervals (one CI for each covariate vector) |

`selection` |
A set of categorical covariate names. CIs will be produced
only for covariate vectors that have a one in every position corresponding
to the elements of |

A data frame that includes `cont.var`

, the corresponding point
estimate of the rate of missingness `pi0`

, and the lower and upper
bounds of the associated confidence intervals.

Zach Kurtz

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.