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
- Version2.2.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- NetworkComparisonTest citation info
- Last release09/01/2023
Documentation
Team
Don van den Bergh
Claudia van Borkulo
Show author detailsRolesAuthorSacha Epskamp
Show author detailsRolesAuthorPayton Jones
Show author detailsRolesAuthorJonas Haslbeck
Show author detailsRolesContributorAlex Millner
Show author detailsRolesContributorKaroline Huth
Show author detailsRolesContributor
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