IHW: 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.

Author
Nikos Ignatiadis [aut, cre], Wolfgang Huber [aut]
Date of publication
None
Maintainer
Nikos Ignatiadis <nikos.ignatiadis01@gmail.com>
License
Artistic-2.0
Version
1.2.0

View on Bioconductor

Man pages

get_bh_threshold
Data-driven threshold of Benjamini Hochberg Procedure
groups_by_filter
Stratify hypotheses based on increasing value of the...
ihw.default
ihw: Main function for Independent Hypothesis Weighting
ihw.DESeqResults
ihw.DESeqResults: IHW method dispatching on DESeqResults...
ihwResult-class
An S4 class to represent the ihw output.
plot-ihwResult-method
Plot functions for IHW

Files in this package

IHW/DESCRIPTION
IHW/NAMESPACE
IHW/R
IHW/R/helpers.R
IHW/R/ihw_class.R
IHW/R/ihw_convex.R
IHW/R/plots.R
IHW/R/weights.R
IHW/README.md
IHW/build
IHW/build/vignette.rds
IHW/inst
IHW/inst/CITATION
IHW/inst/doc
IHW/inst/doc/introduction_to_ihw.R
IHW/inst/doc/introduction_to_ihw.Rmd
IHW/inst/doc/introduction_to_ihw.html
IHW/man
IHW/man/get_bh_threshold.Rd
IHW/man/groups_by_filter.Rd
IHW/man/ihw.DESeqResults.Rd
IHW/man/ihw.default.Rd
IHW/man/ihwResult-class.Rd
IHW/man/plot-ihwResult-method.Rd
IHW/tests
IHW/tests/testthat
IHW/tests/testthat.R
IHW/tests/testthat/test_bh_lambda_zero.R
IHW/tests/testthat/test_bh_threshold.R
IHW/tests/testthat/test_grouping.R
IHW/tests/testthat/test_ihw.R
IHW/tests/testthat/test_regularized_thresholds.R
IHW/tests/testthat/test_weights.R
IHW/vignettes
IHW/vignettes/bibliography.bib
IHW/vignettes/introduction_to_ihw.Rmd