fallback.test: Fallback procedure for multiple testing
In qingyuanzhao/CrossScreening: Cross-Screening in Observational Studies that Test Many Hypotheses
Description
Usage
Arguments
Value
Author(s)
References
Description
Fallback procedure for multiple testing
Usage
1
fallback.test(p, alpha = 0.05, spread = 1)
Arguments
p
a vector of p-values
alpha
significance level
spread
the way to spread alpha, either a vector of the same length as p or a single number to indicate equal spread in the first spread hypotheses.
Value
the rejected hypotheses (TRUE means reject, FALSE means accept)
Author(s)
Qingyuan Zhao
References
Brian L. Wiens. A fixed sequence Bonferroni procedure for testing multiple endpoints. Pharmaceutical Statistics, 2(3), 211—215, 2003.
qingyuanzhao/CrossScreening documentation built on May 26, 2019, 11:35 a.m.
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Description Usage Arguments Value Author(s) References
Description
Fallback procedure for multiple testing
Usage
1 | fallback.test(p, alpha = 0.05, spread = 1)
|
Arguments
p |
a vector of p-values |
alpha |
significance level |
spread |
the way to spread |
Value
the rejected hypotheses (TRUE means reject, FALSE means accept)
Author(s)
Qingyuan Zhao
References
Brian L. Wiens. A fixed sequence Bonferroni procedure for testing multiple endpoints. Pharmaceutical Statistics, 2(3), 211—215, 2003.
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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