alpha.multi: Joint coverage level
In naolsen/ciperm: Confidence intervals using permutation tests
alpha.multi R Documentation
Joint coverage level
Description
Joint coverage level
Usage
alpha.multi(lows, ups, alpha)
Arguments
lows
matrix of l values
ups
matrix of u values
alpha
Significance level (for unadjusted/single confidence intervals)
Details
Note that the computational cost is O(2^K)
Value
Calculates alpha_multiple from the output of ciperm0.multi
naolsen/ciperm documentation built on July 1, 2022, 3:41 p.m.
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| alpha.multi | R Documentation |
Joint coverage level
Description
Joint coverage level
Usage
alpha.multi(lows, ups, alpha)
Arguments
lows |
matrix of l values |
ups |
matrix of u values |
alpha |
Significance level (for unadjusted/single confidence intervals) |
Details
Note that the computational cost is O(2^K)
Value
Calculates alpha_multiple from the output of ciperm0.multi
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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