Correlation-based network models, also known as psychometric networks, provide information about the statistical relationships between observed variables. To reveal significant differences in such networks with respect to covariates, network trees recursively partition the data and fit separate network models in the resulting subsamples.
The networktree package implements two network tree algorithms: model-based trees based on a multivariate normal model and nonparametric trees based on covariance structures.
Reference: Jones, P.J., Mair, P., Simon, T., Zeileis, A. (2020). Network trees: A method for recursively partitioning covariance structures. Psychometrika. Forthcoming. doi:10.1007/s11336-020-09731-4