- r-api-4.0
- r-api-bioc-3.20
- r-cran-slam
- r-bioc-lpsymphony
- r-cran-fdrtool
- r-bioc-biocgenerics
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.
Installed Size: 348.2 kB
Architectures: all