NetworkToolbox (1.3.0)

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Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis.

http://cran.r-project.org/web/packages/NetworkToolbox

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-Gershogoren, Mantegna, & Ben-Jacob, 2010 ), Information Filtering Networks (Barfuss, Massara, Di Matteo, & Aste, 2016 ), and Efficiency-Cost Optimization (Fallani, Latora, & Chavez, 2017 ). 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.

Maintainer: Alexander Christensen
Author(s): Alexander Christensen [aut, cre], Guido Previde Massara [ctb]

License: GPL (>= 3.0)

Uses: corrplot, doParallel, fdrtool, fitdistrplus, foreach, igraph, MASS, Matrix, ppcor, psych, pwr, qgraph, R.matlab, wTO

Released about 1 month ago.


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