hierbase: Enabling Hierarchical Multiple Testing

Implementation of hierarchical inference based on Renaux and Bühlmann (2021) 'Efficient Multiple Testing Adjustment for Hierarchical Inference' <arXiv:2104.15028>. The R-package 'hierbase' offers tools to perform hierarchical inference for one or multiple data sets based on ready-to-use (group) test functions or alternatively a user specified (group) test function. The procedure is based on an efficient hierarchical multiple testing correction and controls the family-wise error rate (FWER). The functions can easily be run in parallel. Hierarchical inference can be applied to (low- or) high-dimensional data sets to find significant groups or single variables (depending on the signal strength and correlation structure) in a data-driven and automated procedure. Possible applications can for example be found in statistical genetics and statistical genomics.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: glmnet, hdi, methods, parallel, stats, SIHR
Suggests: knitr, MASS, testthat
Published: 2021-10-09
Author: Claude Renaux [aut, cre], Peter Bühlmann [ths]
Maintainer: Claude Renaux <renaux at stat.math.ethz.ch>
License: GPL-3
NeedsCompilation: no
Citation: hierbase citation info
Materials: README NEWS
CRAN checks: hierbase results

Downloads:

Reference manual: hierbase.pdf
Vignettes: vignette-hierbase.Rnw
Package source: hierbase_0.1.0.tar.gz
Windows binaries: r-devel: hierbase_0.1.0.zip, r-release: hierbase_0.1.0.zip, r-oldrel: hierbase_0.1.0.zip
macOS binaries: r-release (arm64): hierbase_0.0.4.tgz, r-release (x86_64): hierbase_0.1.0.tgz, r-oldrel: hierbase_0.1.0.tgz
Old sources: hierbase archive

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