fwe_minp: Permutation version of the Bonferroni-Holm minP step-up...
In statlab/permuter: permuter: Permutation Tests
Description
Usage
Arguments
Value
Description
When considering a closed testing procedure, the adjusted p-value $p_i$ for a given hypothesis $H_i$ is the maximum of all p-values for tests including $H_i$ as a special case (including the p-value for the $H_i$ test itself).
Usage
1
fwe_minp(pvalues, distr, combine = "tippett")
Arguments
distr
Matrix or dataframe, columns are approimate null distribution for each partial test
combine
Combining function (default is Tippett)
Value
Vector of adjusted p-values
statlab/permuter documentation built on May 30, 2019, 9:45 a.m.
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Description Usage Arguments Value
Description
When considering a closed testing procedure, the adjusted p-value $p_i$ for a given hypothesis $H_i$ is the maximum of all p-values for tests including $H_i$ as a special case (including the p-value for the $H_i$ test itself).
Usage
1 | fwe_minp(pvalues, distr, combine = "tippett")
|
Arguments
distr |
Matrix or dataframe, columns are approimate null distribution for each partial test |
combine |
Combining function (default is Tippett) |
Value
Vector of adjusted p-values
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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