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|
|Bioconductor views||Clustering GraphAndNetwork|
|Maintainer||Nicolas Staedler <firstname.lastname@example.org>, Frank Dondelinger <email@example.com>|
|Package repository||View on GitHub|
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