mc.calcLinnetCI: Jackknife Confidence Interval

In mcr: Method Comparison Regression

Jackknife Confidence Interval

Description

Calculate Jackknife confidence intervals for intercept, slope or bias given of vector of jackknife point estimates and global point estimate.

Usage

mc.calcLinnetCI(Xjack, xhat, alpha = 0.05)

Arguments

Xjack	vector of point estimates for jackknife samples. The i-th element contains point estimate for the dataset without the 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 (scalar).
se	standard deviation of point estimate calculated with Jackknife Method.
CI	confidence interval for point estimate.

References

Linnet, K. (1993) Evaluation of Regression Procedures for Methods Comparison Studies. CLIN. CHEM. 39/3, 424–432.

mcr documentation built on Oct. 11, 2023, 5:14 p.m.