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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