NetworkComparisonTest: Statistical Comparison of Two Networks Based on Several Invariance Measures

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
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>
License: GPL-2
Copyright: see file COPYRIGHTS
NeedsCompilation: no
Citation: NetworkComparisonTest citation info
Materials: README NEWS
In views: Psychometrics
CRAN checks: NetworkComparisonTest results


Reference manual: NetworkComparisonTest.pdf


Package source: NetworkComparisonTest_2.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): NetworkComparisonTest_2.2.2.tgz, r-oldrel (arm64): NetworkComparisonTest_2.2.2.tgz, r-release (x86_64): NetworkComparisonTest_2.2.2.tgz, r-oldrel (x86_64): NetworkComparisonTest_2.2.2.tgz
Old sources: NetworkComparisonTest archive

Reverse dependencies:

Reverse suggests: GGMncv


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