Statistical Comparison of Two Networks Based on Several Invariance Measures R package NetworkComparisonTest version 2.2.3 CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics) 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>. Software Imports: stats, graphics, utils, Matrix, methods, reshape2, qgraph, networktools, IsingFit Suggests: bootnet, IsingSampler, testthat (>= 3.0.0) Don van den Bergh <d.vandenbergh@uva.nl> Comprehensive R Archive Network (CRAN) Claudia van Borkulo [aut], Sacha Epskamp [aut], Payton Jones [aut], Jonas Haslbeck [ctb], Alex Millner [ctb], Karoline Huth [ctb], Don van den Bergh [cre] GPL-2 2026-02-18 application/tgz https://CRAN.R-project.org/package=NetworkComparisonTest doi:10.32614/CRAN.package.NetworkComparisonTest