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hierinf

Hierarchical Inference

Bioconductor version: 3.24 · Package version: 1.31.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("hierinf")

Details

MaintainerClaude Renaux <renaux@stat.math.ethz.ch>
AuthorClaude Renaux [aut, cre], Laura Buzdugan [aut], Markus Kalisch [aut], Peter Bühlmann [aut]
LicenseGPL-3 | file LICENSE
Downloads rank284
Source branchdevel
biocViewsClustering, GenomeWideAssociation, LinkageDisequilibrium, Regression, SNP, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagehierinf_1.31.0.tar.gz
macOS binary (arm64)hierinf_1.31.0.tgz
macOS binary (x86_64)hierinf_1.31.0.tgz
Dependencies

Depends: R (>= 3.6.0)

Imports: fmsb, glmnet, methods, parallel, stats

Suggests: knitr, MASS, testthat