The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

semtree: 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 each 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. A description of the method was published by Brandmaier, von Oertzen, McArdle, & Lindenberger (2013) <doi:10.1037/a0030001> and Arnold, Voelkle, & Brandmaier (2020) <doi:10.3389/fpsyg.2020.564403>.

Version: 0.9.20
Depends: R (≥ 2.10), OpenMx (≥ 2.6.9)
Imports: rpart, rpart.plot (≥ 3.0.6), lavaan, cluster, ggplot2, tidyr, methods, strucchange, sandwich, zoo, crayon, clisymbols, future.apply, data.table, expm, gridBase
Suggests: knitr, rmarkdown, viridis, MASS, psychTools, testthat, future, ctsemOMX
Published: 2024-04-08
DOI: 10.32614/CRAN.package.semtree
Author: Andreas M. Brandmaier [aut, cre], John J. Prindle [aut], Manuel Arnold [aut], Caspar J. Van Lissa [aut]
Maintainer: Andreas M. Brandmaier <andy at brandmaier.de>
BugReports: https://github.com/brandmaier/semtree/issues
License: GPL-3
URL: https://github.com/brandmaier/semtree
NeedsCompilation: no
Language: en-US
Materials: NEWS
In views: MachineLearning, MixedModels, Psychometrics
CRAN checks: semtree results

Documentation:

Reference manual: semtree.pdf
Vignettes: Constraints in semtree
SEM Forests
Getting Started with the semtree package
Score-based Tests
Focus parameters in SEM forests

Downloads:

Package source: semtree_0.9.20.tar.gz
Windows binaries: r-devel: semtree_0.9.20.zip, r-release: semtree_0.9.20.zip, r-oldrel: semtree_0.9.20.zip
macOS binaries: r-release (arm64): semtree_0.9.20.tgz, r-oldrel (arm64): semtree_0.9.20.tgz, r-release (x86_64): semtree_0.9.20.tgz, r-oldrel (x86_64): semtree_0.9.20.tgz
Old sources: semtree archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=semtree to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.