hierinf: Hierarchical Inference

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.

Package details

AuthorClaude Renaux [aut, cre], Laura Buzdugan [aut], Markus Kalisch [aut], Peter Bühlmann [aut]
Bioconductor views Clustering GenomeWideAssociation LinkageDisequilibrium Regression SNP
MaintainerClaude Renaux <renaux@stat.math.ethz.ch>
LicenseGPL-3 | file LICENSE
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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hierinf documentation built on Nov. 8, 2020, 7:08 p.m.