internal {multiCA} | R Documentation |
Internal functions
Description
These internal functions perform the closed set p-value adjustment calculation for the multivariate Cochran-Armitage trend test. The logical constraint on the possible number of true null hypotheses is incorporated.
Usage
.bit2boolean(x, N)
.p.adjust.closed(test, hypotheses, remove = FALSE, ...)
Arguments
test |
function that performs the local test. The function should accept a subvector of the hypotheses argument as input, and return a p-value. |
hypotheses |
identifiers of the collection of elementary hypotheses. |
remove |
logical indicator of whether hypotheses of length N-1 should be removed |
... |
additional parameters to the 'test' function |
Value
numeric vector of adjusted p-values for each hypothesis
[Package multiCA version 1.2.0 Index]