Description Usage Arguments Value Author(s) References See Also Examples
The function for calculating the adjusted p-values based on original available p-values and all attaianble p-values.
1 | Tarone.p.adjust(p, p.set, alpha, make.decision)
|
p |
numeric vector of p-values (possibly with |
p.set |
a list of numeric vectors, where each vector is the vector of all attainable p-values containing the available p-value for the corresponding hypothesis. |
alpha |
significant level used to compare with adjusted p-values to make decisions, the default value is 0.05. |
make.decision |
logical; if |
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
Tarone, R. E. (1990). A modified Bonferroni method for discrete data. Biometrics, 46: 515-522.
MBonf.p.adjust
, MixBonf.p.adjust
, p.adjust
.
1 2 3 |
[1] 0.1054688 0.0468750 0.1228800
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