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 gmail.com> |
| License: |
GPL-2 |
| Copyright: |
see file COPYRIGHTS |
| NeedsCompilation: |
no |
| Citation: |
NetworkComparisonTest citation info |
| In views: |
Psychometrics |
| CRAN checks: |
NetworkComparisonTest results |
Documentation:
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