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This is the development version of hierinf; for the stable release version, see hierinf.

Hierarchical Inference

Bioconductor version: Development (3.20)

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>

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


To install this package, start R (version "4.4") and enter:

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

# The following initializes usage of Bioc devel


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 1.23.0
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
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Suggests knitr, MASS, testthat
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Follow Installation instructions to use this package in your R session.

Source Package hierinf_1.23.0.tar.gz
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macOS Binary (x86_64) hierinf_1.23.0.tgz
macOS Binary (arm64) hierinf_1.23.0.tgz
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Source Repository (Developer Access) git clone
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