NetworkToolbox: Network Filtering Methods and Measures

Implements Information Filtering Networks (IFN; Barfuss, Massara, Di Matteo, & Aste, 2016 <doi:10.1103/PhysRevE.94.062306>), ECO (ECO; Fallani, Latora, & Chavez, 2017 <doi:10.1371/journal.pcbi.1005305>), and regression-based filtering network approaches (including the dependency network approach; Kenett, Tumminello, Madi, Gur-Gershogoren, Mantegna, & Ben-Jacob, 2010 <doi:10.1371/journal.pone.0015032>). Also implements several network measures like local network characteristics (e.g., centralities), global network characteristics (e.g., clustering coefficient), and edge replication (Rubinov & Sporns, 2010 <doi:10.1016/j.neuroimage.2009.10.003>). Finally, there are a few bootstrapping techniques that are aimed at increasing the reliability and reproducibility of network analysis (Tumminello, Coronnello, & Lillo, 2007 <doi:10.1142/S0218127407018415>).

Depends: R (≥ 3.3.0)
Imports: Matrix, devtools, psych, qgraph, corrplot, RColorBrewer, igraph, fdrtool
Published: 2017-12-20
Author: Alexander Christensen
Maintainer: Alexander Christensen <alexpaulchristensen at>
License: GPL (≥ 3.0)
NeedsCompilation: no
CRAN checks: NetworkToolbox results


Reference manual: NetworkToolbox.pdf
Package source: NetworkToolbox_0.0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: NetworkToolbox_0.0.1.1.tgz
OS X Mavericks binaries: r-oldrel: NetworkToolbox_0.0.1.1.tgz
Old sources: NetworkToolbox archive


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