bcCI: Bias corrected bootstraps
In Rdistance: Density and Abundance from Distance-Sampling Surveys
bcCI R Documentation
Bias corrected bootstraps
Description
Calculate bias-corrected confidence intervals for bootstrap data
using methods in Manly textbook.
Usage
bcCI(x.bs, x, ci = 0.95)
Arguments
x.bs
A vector of bootstrap estimates of some quantity.
x
A scalar of the original estimate of the quantity.
ci
A scalar of the desired confidence interval
coverage.
Value
A named vector containing the lower and upper endpoints of
the bias-corrected bootstrap confidence interval.
Rdistance documentation built on Jan. 10, 2026, 1:07 a.m.
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| bcCI | R Documentation |
Bias corrected bootstraps
Description
Calculate bias-corrected confidence intervals for bootstrap data using methods in Manly textbook.
Usage
bcCI(x.bs, x, ci = 0.95)
Arguments
x.bs |
A vector of bootstrap estimates of some quantity. |
x |
A scalar of the original estimate of the quantity. |
ci |
A scalar of the desired confidence interval coverage. |
Value
A named vector containing the lower and upper endpoints of the bias-corrected bootstrap confidence interval.
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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