mc.calc.bca: Bias Corrected and Accelerated Resampling Confidence Interval
In mcr: Method Comparison Regression
mc.calc.bca R Documentation
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 Oct. 11, 2023, 5:14 p.m.
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| mc.calc.bca | R Documentation |
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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