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.
- Version2.2.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- NetworkComparisonTest citation info
- Last release09/01/2023
Documentation
Team
Don van den Bergh
Sacha Epskamp
Show author detailsRolesAuthorKaroline Huth
Show author detailsRolesContributorJonas Haslbeck
Show author detailsRolesContributorPayton Jones
Show author detailsRolesAuthorClaudia van Borkulo
Show author detailsRolesAuthorAlex Millner
Show author detailsRolesContributor
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