| mc.calc.tboot {mcrPioda} | R Documentation |
Bootstrap-t Method for Calculation of Resampling Confidence Intervals
Description
Calculate resampling confidence intervals for intercept, slope or bias with t-Boot method given a vector of bootstrap point estimates and a vector of bootstrap standard deviations.
Usage
mc.calc.tboot(Xboot, Sboot, xhat, shat, alpha)
Arguments
Xboot |
vector of point estimates for bootstrap sample. The i-th element contains the point estimate for the i-th bootstrap sample. |
Sboot |
vector of standard deviations for each bootstrap sample. It should be estimated with any analytical method or nonparametric with nested bootstrap. |
xhat |
point estimate for the complete data set (scalar). |
shat |
estimate of standard deviation 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). |
se |
estimate of standard deviation for the complete data set (shat). |
CI |
confidence interval for the 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.