NetworkComparisonTest-package | R Documentation |
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).
Package: | NetworkComparisonTest |
Type: | Package |
Version: | 2.2.2 |
License: | GPL-2 |
Claudia D. van Borkulo, with contributions from Jonas Haslbeck, Sacha Epskamp, Payton Jones and Alex Millner
Maintainer: Claudia D. van Borkulo <cvborkulo@gmail.com>
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.
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