A p-value procedure which controls the FDR for independent test statistics.
Usage
multiple.down(pValues, alpha)
Value
A list containing:
rejected
A logical vector indicating which hypotheses are rejected
criticalValues
A numeric vector containing critical values used in the step-up-down test.
adjPValues
A numeric vector containing adjusted p-values.
pi0
An estimate of the proportion of true null hypotheses among all hypotheses (pi0=m0/m).
errorControl
A Mutoss S4 class of type errorControl, containing the type of error controlled by the function and the level alpha.
Author
Jonathan Rosenblatt
Arguments
pValues
A numeric vector of p-values
alpha
The FDR error rate to control
Details
A non-linear step-down p-value procedure which control the FDR for independent test
statistics and enjoys more power then other non-adaptive procedure such as the linear step-up (BH).
For the case of non-independent test statistics, non-adaptive procedures such as the
linear step-up (BH) or the all-purpose conservative Benjamini-Yekutieli (2001) are recommended.