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Hierarchical Inference

Bioconductor version: Release (3.18)

Tools to perform hierarchical inference for one or multiple studies / data sets based on high-dimensional multivariate (generalised) linear models. A possible application is to perform hierarchical inference for GWA studies to find significant groups or single SNPs (if the signal is strong) in a data-driven and automated procedure. The method is based on an efficient hierarchical multiple testing correction and controls the FWER. The functions can easily be run in parallel.

Author: Claude Renaux [aut, cre], Laura Buzdugan [aut], Markus Kalisch [aut], Peter B├╝hlmann [aut]

Maintainer: Claude Renaux <renaux at stat.math.ethz.ch>

Citation (from within R, enter citation("hierinf")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

vignette-hierinf.Rnw PDF R Script
Reference Manual PDF


biocViews Clustering, GenomeWideAssociation, LinkageDisequilibrium, Regression, SNP, Software
Version 1.20.0
In Bioconductor since BioC 3.8 (R-3.5) (5.5 years)
License GPL-3 | file LICENSE
Depends R (>= 3.6.0)
Imports fmsb, glmnet, methods, parallel, stats
System Requirements
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Suggests knitr, MASS, testthat
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package hierinf_1.20.0.tar.gz
Windows Binary hierinf_1.20.0.zip
macOS Binary (x86_64) hierinf_1.20.0.tgz
macOS Binary (arm64) hierinf_1.20.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/hierinf
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/hierinf
Bioc Package Browser https://code.bioconductor.org/browse/hierinf/
Package Short Url https://bioconductor.org/packages/hierinf/
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