mc.calcLinnetCI {mcrPioda} | R Documentation |
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.
[Package mcrPioda version 1.3.3 Index]