[ Bron: r-bioc-ihw ]
Pakket: r-bioc-ihw (1.26.0+dfsg-1)
Verwijzigingen voor r-bioc-ihw
Debian bronnen:
Het bronpakket r-bioc-ihw downloaden:
- [r-bioc-ihw_1.26.0+dfsg-1.dsc]
- [r-bioc-ihw_1.26.0+dfsg.orig.tar.xz]
- [r-bioc-ihw_1.26.0+dfsg-1.debian.tar.xz]
Beheerders:
Externe bronnen:
- Homepage [bioconductor.org]
Vergelijkbare pakketten:
GNU R 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.
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