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Network trees recursively partition the data with respect to covariates. Two network tree algorithms are available: model-based trees based on a multivariate normal model and nonparametric trees based on covariance structures. After partitioning, correlation-based networks (psychometric networks) can be fit on the partitioned data. For details see Jones, Mair, Simon, & Zeileis (2020) doi:10.1007/s11336-020-09731-4.
Citation | networktree citation info |
paytonjjones.github.io/networktree/ | |
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