| NetworkComparisonTest-package {NetworkComparisonTest} | R Documentation |
Statistical Comparison of Two Networks Based on Several Invariance Measures
Description
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).
Details
| Package: | NetworkComparisonTest |
| Type: | Package |
| Version: | 2.2.2 |
| License: | GPL-2 |
Author(s)
Claudia D. van Borkulo, with contributions from Jonas Haslbeck, Sacha Epskamp, Payton Jones and Alex Millner
Maintainer: Claudia D. van Borkulo <cvborkulo@gmail.com>
References
Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods, 23(4), 617-634.
Ernst, M.D. Permutation methods: A basis for exact inference. Stat Sci. 2004;19(4):676-685.
Good, P.I. Permutation, parametric and bootstrap tests of hypotheses. Vol. 3. New York:: Springer, 2005.
van Borkulo, C. D., Boschloo, L., Borsboom, D., Penninx, B. W. J. H., Waldorp, L. J., & Schoevers, R.A. (2015). Association of symptom network structure with the course of depression. JAMA Psychiatry. 2015;72(12). doi:10.1001/jamapsychiatry.2015.2079
van Borkulo, C. D., van Bork, R., Boschloo, Kossakowski, J., Tio, P., L., Schoevers, R.A., Borsboom, D., & , Waldorp, L. J. (2021). Comparing network structures on three aspects: A permutation test. Psychological Methods, in press.