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首页> 外文期刊>The R Journal >NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis in R
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NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis in R

机译:NetworkToolbox:R中的大脑,认知和心理测量网络分析的方法和措施

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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.
机译:本文介绍了用于R的NetworkToolbox软件包。网络分析通过节点(变量)和边(相关性)描绘的模型,提供了对复杂现象的直观见解。网络建模复杂性的能力已使它们成为建模大脑中复杂交互作用的标准方法。同样,网络已成为研究心理和心理病理现象复杂性的一种越来越有吸引力的模型。 NetworkToolbox旨在为研究人员提供最先进的方法和措施,以评估和分析大脑,认知和心理测量网络。在本文中,我将介绍NetworkToolbox并提供一个教程,以将某些程序包的功能应用于个性数据。

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