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

This permutation based hypothesis test, suited for Gaussian and binary data, assesses the difference between two networks based on several invariance measures (e.g., network structure invariance, global strength invariance, edge invariance). Network structures are estimated with l1-regularized partial correlations (Gaussian data) or with l1-regularized logistic regression (eLasso, binary data). Suited for comparison of independent and dependent samples. For dependent samples, only supported for data of one group which is measured twice. See van Borkulo et al. (2017) <doi:10.13140/RG.2.2.29455.38569>.

Version: 2.2.1
Imports: qgraph, IsingFit, IsingSampler, reshape2, stats, graphics, utils, Matrix, methods
Suggests: networktools
Published: 2019-06-28
Author: Claudia van Borkulo [aut, cre], Sacha Epskamp [aut], Payton Jones [aut], Jonas Haslbeck [ctb], Alex Millner [ctb]
Maintainer: Claudia van Borkulo <cvborkulo at>
License: GPL-2
Copyright: see file COPYRIGHTS
NeedsCompilation: no
Citation: NetworkComparisonTest citation info
In views: Psychometrics
CRAN checks: NetworkComparisonTest results


Reference manual: NetworkComparisonTest.pdf


Package source: NetworkComparisonTest_2.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): NetworkComparisonTest_2.2.1.tgz, r-oldrel (arm64): NetworkComparisonTest_2.2.1.tgz, r-release (x86_64): NetworkComparisonTest_2.2.1.tgz, r-oldrel (x86_64): NetworkComparisonTest_2.2.1.tgz
Old sources: NetworkComparisonTest archive

Reverse dependencies:

Reverse suggests: GGMncv


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