To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("nethet")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see nethet.
Bioconductor version: 3.4
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).
Author: Nicolas Staedler, Frank Dondelinger
Maintainer: Nicolas Staedler <staedler.n at gmail.com>, Frank Dondelinger <fdondelinger.work at gmail.com>
Citation (from within R,
enter citation("nethet")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("nethet")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("nethet")
Follow Installation instructions to use this package in your R session.
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