curveMaxFP_alternatives: Upper bound for the number of false discoveries among most...
In pneuvial/sanssouci: Post Hoc Multiple Testing Inference
curveMaxFP_BNR2014 R Documentation
Upper bound for the number of false discoveries among most significant items
Description
Upper bound for the number of false discoveries among most significant items
Usage
curveMaxFP_BNR2014(p.values, thr)
curveMaxFP_Mein2006(p.values, thr)
Arguments
p.values
A vector containing all m p-values, sorted non-decreasingly
thr
A vector of K JER-controlling thresholds, sorted non-decreasingly
Details
These older implementations of 'curveMaxFP' are here for the purpose of testing that the current one yields consistent results.
Value
A vector of size m giving an joint upper confidence bound on
the number of false discoveries among the k most significant items
for all k \in \{1\ldots m\}.
Author(s)
Gilles Blanchard, Nicolas Enjalbert-Courrech, Pierre Neuvial and Etienne Roquain
pneuvial/sanssouci documentation built on June 29, 2024, 9:49 a.m.
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| curveMaxFP_BNR2014 | R Documentation |
Upper bound for the number of false discoveries among most significant items
Description
Upper bound for the number of false discoveries among most significant items
Usage
curveMaxFP_BNR2014(p.values, thr)
curveMaxFP_Mein2006(p.values, thr)
Arguments
p.values |
A vector containing all |
thr |
A vector of |
Details
These older implementations of 'curveMaxFP' are here for the purpose of testing that the current one yields consistent results.
Value
A vector of size m giving an joint upper confidence bound on
the number of false discoveries among the k most significant items
for all k \in \{1\ldots m\}.
Author(s)
Gilles Blanchard, Nicolas Enjalbert-Courrech, Pierre Neuvial and Etienne Roquain
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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