Description Usage Arguments Value Author(s) See Also Examples
The function for computing the critical value based on number of hypotheses m, fold k and significant level α.
1 | gbonf.cv(m, k, alpha)
|
m |
number of hypotheses to be tested. |
k |
number of allowed type 1 errors in k-FWER controls. |
alpha |
significant level used to compare with adjusted p-values to make decisions, the default value is 0.05. |
A numeric vector of the adjusted p-values (of the same length as p
) if make.decision = FALSE
, or a list including original p-values, adjusted p-values and decision rules if make.decision = TRUE
.
Yalin Zhu
gbonf.p.adjust
, p.adjust
, Sidak.p.adjust
.
1 2 |
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