r-bioc-ihw 1.30.0+dfsg-1 (amd64 binary) in ubuntu noble

 Independent hypothesis weighting (IHW) is a multiple testing procedure
 that increases power compared to the method of Benjamini and Hochberg by
 assigning data-driven weights to each hypothesis. The input to IHW is a
 two-column table of p-values and covariates. The covariate can be any
 continuous-valued or categorical variable that is thought to be
 informative on the statistical properties of each hypothesis test, while
 it is independent of the p-value under the null hypothesis.

Details

Package version:
1.30.0+dfsg-1
Source:
r-bioc-ihw 1.30.0+dfsg-1 source package in Ubuntu
Status:
Published
Component:
universe
Priority:
Optional