Statistical Comparison of Two Networks Based on Several Invariance Measures
Overview
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.
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Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
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- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-03-10
Documentation
- Help pages
- 4includes a package overview page
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 95%
- Return-value docs
- 100%
- Help pages citing references
- 25%
Downloads
Dependencies
Installing NetworkComparisonTest adds 128 packages (68 with compiled code, 92 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Maintainer since 2.0.0 (2016)
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- 2.0.02016-09-07
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Package metadata
- First published
- 2016-09-07
- Total releases
- 6 / 10 yrs
- License
- GPL-2 OSI
- Download size
- 26 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("NetworkComparisonTest")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1037/met0000476.
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For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.