NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric
Network Analysis
Implements network analysis and graph theory measures used in neuroscience, cognitive science, and psychology. Methods include various filtering methods and approaches such as threshold, dependency (Kenett, Tumminello, Madi, Gur-Gershgoren, Mantegna, & Ben-Jacob, 2010 <doi:10.1371/journal.pone.0015032>), Information Filtering Networks (Barfuss, Massara, Di Matteo, & Aste, 2016 <doi:10.1103/PhysRevE.94.062306>), and Efficiency-Cost Optimization (Fallani, Latora, & Chavez, 2017 <doi:10.1371/journal.pcbi.1005305>). Several network measures are translated from the Brain Connectivity Toolbox (Rubinov & Sporns, 2010 <doi:10.1016/j.neuroimage.2009.10.003>). Brain methods include the recently developed Connectome Predictive Modeling (see references in package). Also implements several network measures including local network characteristics (e.g., centrality), community-level network characteristics (e.g., community centrality), global network characteristics (e.g., clustering coefficient), and various other measures associated with the reliability and reproducibility of network analysis.
| Version: |
1.5.0 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
corrplot, doParallel, fdrtool, foreach, igraph, IsingFit, MASS, methods, parallel, pbapply, ppcor, psych, pwr, R.matlab, qgraph |
| Suggests: |
googledrive |
| Published: |
2026-10-28 |
| DOI: |
10.32614/CRAN.package.NetworkToolbox |
| Author: |
Alexander Christensen
 [aut, cre],
Guido Previde Massara
[ctb] (Author
of MFCF),
BCT Contributors [cph] (Copyright holder of the Brain Connectivity
Toolbox (BSD 3-clause license)),
Mika Rubinov [cph, ctb] (Original MATLAB implementations in the Brain
Connectivity Toolbox (betweenness, distance, clustering,
transitivity, participation, diversity, and Louvain)),
Olaf Sporns [cph, ctb] (Original MATLAB implementations in the Brain
Connectivity Toolbox (random and lattice networks)),
Alex Fornito [cph, ctb] (Original MATLAB participation coefficient in
the Brain Connectivity Toolbox),
Jeff Spielberg [cph, ctb] (Original MATLAB gateway coefficient in the
Brain Connectivity Toolbox),
Jonathan Clayden [cph, ctb] (Original MATLAB binary distance in the
Brain Connectivity Toolbox),
Rick Betzel [cph, ctb] (Original MATLAB weighted distance in the Brain
Connectivity Toolbox),
Andrea Avena [cph, ctb] (Original MATLAB weighted distance in the Brain
Connectivity Toolbox),
Alexandros Goulas [cph, ctb] (Original MATLAB binary transitivity in
the Brain Connectivity Toolbox) |
| Maintainer: |
Alexander Christensen <alexpaulchristensen at gmail.com> |
| License: |
GPL (≥ 3.0) |
| Copyright: |
See inst/COPYRIGHTS for details
NetworkToolbox copyright details |
| NeedsCompilation: |
no |
| Citation: |
NetworkToolbox citation info |
| Materials: |
NEWS |
| In views: |
NetworkAnalysis, Psychometrics |
| CRAN checks: |
NetworkToolbox results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=NetworkToolbox
to link to this page.