Package: netboost
Type: Package
Title: Network Analysis Supported by Boosting
Version: 2.21.2
Date: 2026-06-17
Authors@R: c(person("Pascal", "Schlosser", role = c("aut", "cre"),
                    email = "pascal.schlosser@uniklinik-freiburg.de",
                    comment = c(ORCID = "0000-0002-8460-0462")),
             person("Jochen", "Knaus", role = c("aut", "ctb"),
                    email = "jo@imbi.uni-freiburg.de"),
             person("Yaniv", "Loewenstein", role = c("aut")))
Description: Boosting supported network analysis for high-dimensional
        omics applications. This package includes a portable
        reimplementation of the MC-UPGMA clustering algorithm by Yaniv
        Loewenstein (Loewenstein et al. 2008,
        <doi:10.1093/bioinformatics/btn174>).
Depends: R (>= 4.0.0)
biocViews: Software, StatisticalMethod, GraphAndNetwork, Network,
        Clustering, DimensionReduction, BiomedicalInformatics,
        Epigenetics, Metabolomics, Transcriptomics
Imports: Rcpp, RcppParallel, parallel, grDevices, graphics, stats,
        utils, dynamicTreeCut, WGCNA, impute, colorspace, methods
LinkingTo: Rcpp, RcppParallel
Suggests: knitr, rmarkdown, BiocStyle
VignetteBuilder: knitr
ByteCompile: yes
NeedsCompilation: yes
LazyData: true
License: GPL-3
URL: https://bioconductor.org/packages/release/bioc/html/netboost.html
BugReports: mailto:pascal.schlosser@uniklinik-freiburg.de
Encoding: UTF-8
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-06-17 14:43:20 UTC
RemoteUrl: https://github.com/bioc/netboost
RemoteRef: HEAD
RemoteSha: dbb8a5adac7e2488a5a89b55b6e07d369c4927be
Packaged: 2026-06-17 18:00:02 UTC; root
Author: Pascal Schlosser [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8460-0462>),
  Jochen Knaus [aut, ctb],
  Yaniv Loewenstein [aut]
Maintainer: Pascal Schlosser <pascal.schlosser@uniklinik-freiburg.de>
Built: R 4.6.0; x86_64-w64-mingw32; 2026-06-17 18:04:35 UTC; windows
Archs: x64
