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.

Install the latest version of this package by entering the following in R:
AuthorNikos Ignatiadis [aut, cre], Wolfgang Huber [aut]
Bioconductor views MultipleComparison RNASeq
Date of publicationNone
MaintainerNikos Ignatiadis <nikos.ignatiadis01@gmail.com>

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adj_pvalues Man page
adj_pvalues,ihwResult-method Man page
alpha Man page
alpha,ihwResult-method Man page
as.data.frame_ihwResult Man page
as.data.frame,ihwResult-method Man page
covariates Man page
covariates,ihwResult-method Man page
covariate_type Man page
covariate_type,ihwResult-method Man page
get_bh_threshold Man page
groups_by_filter Man page
groups_factor Man page
groups_factor,ihwResult-method Man page
ihw Man page
ihw.default Man page
ihw.DESeqResults Man page
ihw.formula Man page
ihwResult Man page
ihwResult-class Man page
m_groups Man page
m_groups,ihwResult-method Man page
nbins Man page
nbins,ihwResult-method Man page
nfolds Man page
nfolds,ihwResult-method Man page
nrow,ihwResult-method Man page
plot,ihwResult-method Man page
pvalues Man page
pvalues,ihwResult-method Man page
regularization_term Man page
regularization_term,ihwResult-method Man page
rejected_hypotheses Man page
rejected_hypotheses,ihwResult-method Man page
rejections Man page
rejections,ihwResult-method Man page
show,ihwResult-method Man page
thresholds Man page
thresholds,ihwResult-method Man page
weighted_pvalues Man page
weighted_pvalues,ihwResult-method Man page
weights,ihwResult-method Man page

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