Network Model Trees

Payton J. Jones, Patrick Mair, Thorsten Simon and Achim Zeileis ()

No ha4cw, OSF Preprints from Center for Open Science

Abstract: In many areas of psychology, correlation-based network approaches (i.e., psychometric networks) have become a popular tool. In this paper we define a statistical model for correlation-based networks and propose an approach that recursively splits the sample based on covariates in order to detect significant differences in the network structure. We adapt model-based recursive partitioning and conditional inference tree approaches for finding covariate splits in a recursive manner. This approach is implemented in the networktree R package. The empirical power of these approaches is studied in several simulation conditions. Examples are given using real-life data from personality and clinical research.

Date: 2019-07-30
New Economics Papers: this item is included in nep-net
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:ha4cw

DOI: 10.31219/osf.io/ha4cw

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