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文章基本信息

  • 标题:NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis in R
  • 本地全文:下载
  • 作者:Alexander P. Christensen
  • 期刊名称:R News
  • 印刷版ISSN:1609-3631
  • 出版年度:2018
  • 卷号:10
  • 期号:2
  • 页码:422-439
  • 语种:English
  • 出版社:The R Foundation for Statistical Computing
  • 摘要:This article introduces the NetworkToolbox package for R. Network analysis offers an intuitive perspective on complex phenomena via models depicted by nodes (variables) and edges (correlations). The ability of networks to model complexity has made them the standard approach for modeling the intricate interactions in the brain. Similarly, networks have become an increasingly attractive model for studying the complexity of psychological and psychopathological phenomena. NetworkToolbox aims to provide researchers with state-of-the-art methods and measures for es timating and analyzing brain, cognitive, and psychometric networks. In this article, I introduce NetworkToolbox and provide a tutorial for applying some the package’s functions to personality data.
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