adjusted_ci: Adjusted (multivariate) confidence intervals
In naolsen/ciperm: Confidence intervals using permutation tests
adjusted_ci R Documentation
Adjusted (multivariate) confidence intervals
Description
Adjust coverage level such that joint coverage level corresponds
Usage
adjusted_ci(lus, level = 0.95, tol = 0.001, include_unadjusted = TRUE)
Arguments
tol
tolerance for reaching level.
include_unadjusted
Include unadjusted confidence intervals as an attribute?
Details
This function uses output from ciperm0.multi.
In a simple bisection algorithm, the confidence level is adjusted until the joint coverage level (form alpha.multi) is code.
Value
Adjusted confidence intervals with the adjusted confidence level as an attribute.
naolsen/ciperm documentation built on July 1, 2022, 3:41 p.m.
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| adjusted_ci | R Documentation |
Adjusted (multivariate) confidence intervals
Description
Adjust coverage level such that joint coverage level corresponds
Usage
adjusted_ci(lus, level = 0.95, tol = 0.001, include_unadjusted = TRUE)
Arguments
tol |
tolerance for reaching |
include_unadjusted |
Include unadjusted confidence intervals as an attribute? |
Details
This function uses output from ciperm0.multi.
In a simple bisection algorithm, the confidence level is adjusted until the joint coverage level (form alpha.multi) is code.
Value
Adjusted confidence intervals with the adjusted confidence level as an attribute.
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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