mc.calc.bca: Bias Corrected and Accelerated Resampling Confidence Interval

In mcr: Method Comparison Regression

Bias Corrected and Accelerated Resampling Confidence Interval

Description

Calculate resampling BCa confidence intervals for intercept, slope or bias given a vector of bootstrap and jackknife point estimates.

Usage

mc.calc.bca(Xboot, Xjack, xhat, alpha)

Arguments

Xboot	vector of point estimates for bootstrap samples. The i-th element contains point estimate of the i-th bootstrap sample.
Xjack	vector of point estimates for jackknife samples. The i-th element contains point estimate of the dataset without i-th observation.
xhat	point estimate for the complete data set (scalar).
alpha	numeric value specifying the 100(1-alpha)% confidence level for the confidence interval (Default is 0.05).

Value

a list with elements

est	point estimate for the complete data set (xhat).
CI	confidence interval for point estimate.

References

Carpenter, J., Bithell, J. (2000) Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians. Stat Med, 19 (9), 1141–1164.

mcr documentation built on Sept. 23, 2024, 5:10 p.m.