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 |

**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

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

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