JackAfterBoot: Jackknife-after-Bootstrap

In YimengSun21/StatComp21062: Final work for the 'Statistical Computing' course

Description

Calculate the bias and standard deviation estimate for each leave-one-out Bootstrap sample.

Usage

JackAfterBoot(data, func = NULL, B)

Arguments

data	the data as a vector
func	the function which applied to data
B	the number of replicates in Bootstrap

Value

the bias and standard deviation estimate for both Bootstrap and Jackknife-after-Bootstrap methods

Examples

## Not run: 
data("cars")
data <- cars$speed
JackAfterBoot(data, mean, 1000)
JackAfterBoot(data, median, 1000)

## End(Not run)

YimengSun21/StatComp21062 documentation built on Dec. 23, 2021, 10:18 p.m.