Package: hierinf
Type: Package
Title: Hierarchical Inference
Version: 1.31.0
Authors@R: c(person("Claude", "Renaux", role = c("aut", "cre"), 
                    email = "renaux@stat.math.ethz.ch"), 
             person("Laura", "Buzdugan", role = c("aut")), 
             person("Markus", "Kalisch", role = c("aut")), 
             person("Peter", "Bühlmann", role = c("aut")))
Description: 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.
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: yes
Depends: R (>= 3.6.0)
Imports: fmsb, glmnet, methods, parallel, stats
Suggests: knitr, MASS, testthat
biocViews: Clustering, GenomeWideAssociation, LinkageDisequilibrium,
        Regression, SNP
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:48:26 UTC
RemoteUrl: https://github.com/bioc/hierinf
RemoteRef: HEAD
RemoteSha: e9732418bc9000ad84a597b8df92c839970ed302
NeedsCompilation: no
Packaged: 2026-07-03 20:14:46 UTC; root
Author: Claude Renaux [aut, cre],
  Laura Buzdugan [aut],
  Markus Kalisch [aut],
  Peter Bühlmann [aut]
Maintainer: Claude Renaux <renaux@stat.math.ethz.ch>