r-ihw 1.16.0 Independent hypothesis weighting
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.
- Website: https://bioconductor.org/packages/IHW
- License: Artistic License 2.0
- Package source: bioconductor.scm
- Patches: None
- Builds: x86_64-linux, i686-linux