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