semtree (0.9.13)

Recursive Partitioning for Structural Equation Models.

SEM Trees and SEM Forests -- an extension of model-based decision trees and forests to Structural Equation Models (SEM). SEM trees hierarchically split empirical data into homogeneous groups sharing similar data patterns with respect to a SEM by recursively selecting optimal predictors of these differences. SEM forests are an extension of SEM trees. They are ensembles of SEM trees each built on a random sample of the original data. By aggregating over a forest, we obtain measures of variable importance that are more robust than measures from single trees.

Maintainer: Andreas M. Brandmaier
Author(s): Andreas M. Brandmaier [aut, cre], John J. Prindle [aut]

License: GPL-3

Uses: bitops, cluster, digest, OpenMx, plotrix, rpart, rpart.plot, sets, stringr, lavaan

Released about 1 year ago.