Description Usage Arguments Details Value See Also Examples
Computes the Spjotvoll p-value weights for multiple testing.
Given estimated means mu
of test statistics T
,
the weighting scheme optimizes the expected number of discoveries
using T
as test statistics in multiple testing
at some specific level q
.
1 | spjotvoll_weights(mu, q)
|
mu |
a negative vector, the estimated means of test statistics |
q |
level at which tests will be performed |
Specifically, it is assumed that T
are Gaussian with mean
mu
. One-sided tests of mu>=0
against mu<0
are conducted using the test statistics T
. To optimize power,
different levels are allocated to different tests.
For more details, see the paper "Optimal Multiple Testing Under a
Gaussian Prior on the Effect Sizes", by Dobriban, Fortney, Kim and Owen,
http://arxiv.org/abs/1504.02935
The optimal Spjotvoll weights.
Other p.value.weighting: bayes_weights
;
exp_weights
; iGWAS
1 2 3 4 | J <- 100
mu <- -abs(rnorm(J))
q <- 0.05 / J
w <- spjotvoll_weights(mu, q)
|
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