closed_test: closed test decision
In floatofmath/resamplingMCP: Resampling graph-based multiple comparison procedures
Description
Usage
Arguments
Value
Author(s)
Description
compute test decision for an elementary hypothesis based on a closed test procedure
Usage
1
closed_test(i, p, m = log2(length(p) + 1), alpha = 0.025)
Arguments
i
elementary hypothesis to test
p
list of local p-values (see details)
alpha
significance level
Value
logical whether hypothesis can be rejected at FWER level alpha
Author(s)
Florian Klinglmueller
floatofmath/resamplingMCP documentation built on May 16, 2019, 1:21 p.m.
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Description Usage Arguments Value Author(s)
Description
compute test decision for an elementary hypothesis based on a closed test procedure
Usage
1 | closed_test(i, p, m = log2(length(p) + 1), alpha = 0.025)
|
Arguments
i |
elementary hypothesis to test |
p |
list of local p-values (see details) |
alpha |
significance level |
Value
logical whether hypothesis can be rejected at FWER level alpha
Author(s)
Florian Klinglmueller
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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