This permutation based hypothesis test, suited for several types of data supported by the estimateNetwork function of the bootnet package (Epskamp & Fried, 2018), assesses the difference between two networks based on several invariance measures (network structure invariance, global strength invariance, edge invariance, several centrality measures, etc.). Network structures are estimated with l1-regularization. The Network Comparison Test is suited for comparison of independent (e.g., two different groups) and dependent samples (e.g., one group that is measured twice). See van Borkulo et al. (2021), available from <doi:10.1037/met0000476>.
Version: 2.2.2 Imports: stats, graphics, utils, Matrix, methods, reshape2, qgraph, networktools, IsingFit Suggests: bootnet, IsingSampler, testthat (≥ 3.0.0) Published: 2023-09-01 DOI: 10.32614/CRAN.package.NetworkComparisonTest Author: Claudia van Borkulo [aut], Sacha Epskamp [aut], Payton Jones [aut], Jonas Haslbeck [ctb], Alex Millner [ctb], Karoline Huth [ctb], Don van den Bergh [cre] Maintainer: Don van den Bergh <d.vandenbergh at uva.nl> License: GPL-2 Copyright: see file COPYRIGHTS NeedsCompilation: no Citation: NetworkComparisonTest citation info Materials: README NEWS In views: Psychometrics CRAN checks: NetworkComparisonTest results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=NetworkComparisonTest to link to this page.
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