Description Usage Arguments Value Author(s)
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
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