R: Estimate the confidence interval of SACE using bootstrap.

boot.ci

R Documentation

Estimate the confidence interval of SACE using bootstrap.

Give quantiles of bootstrap samples SACE.

boot.ci(object, nboot = 1000, seed = 100:(100 + nboot - 1), alpha = 0.05,
  max.step = 1000, singular.ok = FALSE, print.progress = TRUE)

`object`	an object of class `sace`.
`nboot`	a positive integer. The number of bootstrap samples desired.
`seed`	an integer vector with length `nboot`. Seed to generate samples.
`alpha`	confidence level.
`max.step`	see documentation of sace.
`singular.ok`	see documentation of sace.
`print.progress`	logical. Need progress be printed?

a list with 4 elements:

`nskip`	number of failures during bootstrap.
`sace.boot.record`	a vector with length `nboot`-`skip`. SACE estimates of all bootstrap samples.
`boot.sd`	scaler. Standard deviation of SACE estimates of all bootstrap samples.
`ci`	a vector with length 2. Estimated confidence interval.

Zhixuan Shao <shaozhixuansh@pku.edu.cn>