NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis
Version 1.1.2

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), global network characteristics (e.g., clustering coefficient), and various other measures associated with the reliability and reproducibility of network analysis.

Package details

AuthorAlexander Christensen
Date of publication2018-04-29 21:46:26 UTC
MaintainerAlexander Christensen <[email protected]>
LicenseGPL (>= 3.0)
Package repositoryView on CRAN
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NetworkToolbox documentation built on April 30, 2018, 1:04 a.m.