TopDown_C_binary: Leading NA
In TMTI: 'Too Many, Too Improbable' (TMTI) Test Procedures
TopDown_C_binary R Documentation
Leading NA
Description
Computes a confidence set for the number of false hypotheses among all hypotheses
using a binary search
Usage
TopDown_C_binary(LocalTest, pvals, alpha, low, high, verbose)
Arguments
LocalTest
A function that returns a double in (0, 1).
pvals
A vector of p-values.
alpha
A double indicating the significance level
low
integer denoting the starting point for the search. Should start at zero.
high
integer denoting the end point of the search. Should end at pvals.size() - 1.
verbose
boolean, indicating whether to print progress.
TMTI documentation built on Aug. 10, 2022, 5:06 p.m.
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| TopDown_C_binary | R Documentation |
Leading NA
Description
Computes a confidence set for the number of false hypotheses among all hypotheses using a binary search
Usage
TopDown_C_binary(LocalTest, pvals, alpha, low, high, verbose)
Arguments
LocalTest |
A function that returns a double in (0, 1). |
pvals |
A vector of p-values. |
alpha |
A double indicating the significance level |
low |
integer denoting the starting point for the search. Should start at zero. |
high |
integer denoting the end point of the search. Should end at pvals.size() - 1. |
verbose |
boolean, indicating whether to print progress. |
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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