The classical Sidak correction returns adjusted p-values, ensuring strong FWER control under
the assumption of independence of the input p-values. It only uses the fact that the probability of no incorrect
rejection is the product over true nulls of those marginal probabilities (using the assumed independence of p-values).
Usage
sidak(pValues, alpha, silent=FALSE)
Value
A list containing:
adjPValues
A numeric vector containing the adjusted pValues
rejected
(if alpha is given) A logical vector indicating which hypotheses are rejected
errorControl
A Mutoss S4 class of type errorControl, containing the type of error controlled by the function.
Author
MuToss-Coding Team
Arguments
pValues
pValues to be used.
alpha
The level at which the FWER shall be controlled (optional).
silent
logical scalar. If TRUE no output is generated.
Details
The procedure is more generally valid for positive orthant dependent test statistics.
It is recommended to use the step-down version of the Sidak correction instead (see SidakSD),
which is valid under the exact same assumptions but is more powerful.
References
Sidak, Z. (1967). Rectangular confidence regions for the means of multivariate normal distributions.
Journal of the American Statistical Association, 62:626-633.