semtree: Recursive Partitioning for Structural Equation Models
Version 0.9.10

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.

Getting started

Package details

AuthorAndreas M. Brandmaier [aut, cre], John J. Prindle [aut]
Date of publication2017-04-05 13:40:33 UTC
MaintainerAndreas M. Brandmaier <[email protected]>
LicenseGPL-3
Version0.9.10
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("semtree")

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semtree documentation built on May 30, 2017, 5:35 a.m.