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).
Package details |
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| Author | Nicolas Staedler, Frank Dondelinger |
| Bioconductor views | Clustering GraphAndNetwork |
| Maintainer | Nicolas Staedler <staedler.n@gmail.com>, Frank Dondelinger <fdondelinger.work@gmail.com> |
| License | GPL-2 |
| Version | 1.21.1 |
| Package repository | View on GitHub |
| Installation |
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