Package: NetworkToolbox Title: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis Version: 1.4.4 Date: 2025-05-08 Authors@R: c(person("Alexander", "Christensen", email = "alexpaulchristensen@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9798-7037")), person("Guido", "Previde Massara", role = c("ctb"), comment = c(ORCID = "0000-0003-0502-2789"))) Maintainer: Alexander Christensen Description: 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 ), 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. Depends: R (>= 3.6.0) License: GPL (>= 3.0) Encoding: UTF-8 LazyData: true Imports: corrplot, doParallel, fdrtool, foreach, igraph, IsingFit, MASS, methods, parallel, pbapply, ppcor, psych, pwr, R.matlab, qgraph Suggests: googledrive RoxygenNote: 7.3.2 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libjpeg-dev libpng-dev libuv1-dev libxml2-dev Repository: https://alexchristensen.r-universe.dev Date/Publication: 2025-05-08 15:54:22 UTC RemoteUrl: https://github.com/alexchristensen/networktoolbox RemoteRef: HEAD RemoteSha: d41da6d7bbf6165d358ebf55470531c6c876c18c NeedsCompilation: no Packaged: 2026-06-11 09:07:23 UTC; root Author: Alexander Christensen [aut, cre] (ORCID: ), Guido Previde Massara [ctb] (ORCID: )