Package: nethet
Type: Package
Title: A bioconductor package for high-dimensional exploration of
        biological network heterogeneity
Version: 1.44.0
Date: 2020-09-27
Author: Nicolas Staedler, Frank Dondelinger
Maintainer: Nicolas Staedler <staedler.n@gmail.com>, Frank Dondelinger
 <fdondelinger.work@gmail.com>
Description: Package nethet is an implementation of statistical solid
        methodology enabling the analysis of network heterogeneity from
        high-dimensional data. It combines several implementations of
        recent statistical innovations useful for estimation and
        comparison of networks in a heterogeneous, high-dimensional
        setting. In particular, we provide code for formal two-sample
        testing in Gaussian graphical models (differential network and
        GGM-GSA; Stadler and Mukherjee, 2013, 2014) and make a novel
        network-based clustering algorithm available (mixed graphical
        lasso, Stadler and Mukherjee, 2013).
Imports: glasso, mvtnorm, GeneNet, huge, CompQuadForm, ggm, mclust,
        parallel, GSA, limma, multtest, ICSNP, glmnet, network,
        ggplot2, grDevices, graphics, stats, utils
Suggests: knitr, xtable, BiocStyle, testthat
biocViews: Clustering, GraphAndNetwork
VignetteBuilder: knitr
License: GPL-2
Packaged: 2026-04-29 23:36:27 UTC; root
RoxygenNote: 6.1.1
Config/pak/sysreqs: libglpk-dev make libxml2-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2026-04-28 12:40:18 UTC
RemoteUrl: https://github.com/bioc/nethet
RemoteRef: RELEASE_3_23
RemoteSha: 2dbc9de400211fdedeb324e2bb4a8d1325670214
NeedsCompilation: yes
Built: R 4.6.0; x86_64-w64-mingw32; 2026-04-29 23:40:03 UTC; windows
Archs: x64
