boot.ci: Estimate the confidence interval of SACE using bootstrap.

In tbd: Estimation of Causal Effects with Outcomes Truncated by Death

Description

Give quantiles of bootstrap samples SACE.

Usage

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

Arguments

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?

Value

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.

Author(s)

Zhixuan Shao <[e-mail]>

tbd documentation built on May 2, 2019, 12:42 p.m.