Package: hierinf
Type: Package
Title: Hierarchical Inference
Version: 1.27.0
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
git_url: https://git.bioconductor.org/packages/hierinf
git_branch: devel
git_last_commit: f1b8b37
git_last_commit_date: 2025-04-15
Repository: Bioconductor 3.22
Date/Publication: 2025-06-04
NeedsCompilation: no
Packaged: 2025-06-04 23:39:28 UTC; biocbuild
Author: Claude Renaux [aut, cre],
  Laura Buzdugan [aut],
  Markus Kalisch [aut],
  Peter Bühlmann [aut]
Maintainer: Claude Renaux <renaux@stat.math.ethz.ch>
Built: R 4.5.0; ; 2025-06-05 13:10:37 UTC; windows
