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 |
| 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:
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