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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 |
| Reference manual: | NetworkComparisonTest.pdf |
| Package source: | NetworkComparisonTest_2.2.2.tar.gz |
| Windows binaries: | r-devel: NetworkComparisonTest_2.2.2.zip, r-release: NetworkComparisonTest_2.2.2.zip, r-oldrel: NetworkComparisonTest_2.2.2.zip |
| 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 suggests: | GGMncv |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.