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semtree  

Recursive Partitioning for Structural Equation Models
View on CRAN: Click here


Download and install semtree package within the R console
Install from CRAN:
install.packages("semtree")

Install from Github:
library("remotes")
install_github("cran/semtree")

Install by package version:
library("remotes")
install_version("semtree", "0.9.23")



Attach the package and use:
library("semtree")
Maintained by
Andreas M. Brandmaier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-16
Latest Update: 2025-07-28
Description:
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) and Arnold, Voelkle, & Brandmaier (2020) .
How to cite:
Andreas M. Brandmaier (2016). semtree: Recursive Partitioning for Structural Equation Models. R package version 0.9.23, https://cran.r-project.org/web/packages/semtree. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.9.9 (2016-12-16 15:35), 0.9.10 (2017-04-05 15:40), 0.9.11 (2017-12-14 15:58), 0.9.12 (2018-02-13 10:48), 0.9.13 (2018-11-05 10:20), 0.9.14 (2020-01-07 23:00), 0.9.15 (2021-04-29 01:20), 0.9.16 (2021-06-11 16:30), 0.9.17 (2021-07-30 10:10), 0.9.18 (2022-05-13 22:20), 0.9.19 (2023-11-26 15:20), 0.9.20 (2024-04-08 14:40), 0.9.22 (2025-07-28 13:20)
Other packages that cited semtree R package
View semtree citation profile
Other R packages that semtree depends, imports, suggests or enhances
Complete documentation for semtree
Functions, R codes and Examples using the semtree R package
Some associated functions: biodiversity . coef.semtree . computePval_maxLR . diversityMatrix . evaluate . evaluateDataLikelihood . evaluateTree . findOtherSplits . fitSubmodels . getDepth . getHeight . getLeafs . getNodeById . getNumNodes . getParDiffForest . getParDiffTree . getTerminalNodes . isLeaf . kl . lgcm . merge.semforest . modelEstimates . outliers . parameters . partialDependence . partialDependence_data . partialDependence_growth . plotParDiffForest . plotParDiffTree . plotTreeStructure . predict.semforest . proximity . prune . se . semforest.control . semforest . semtree-package . semtree.constraints . semtree.control . semtree . strip . subforest . subtree . toTable . varimp . 
Some associated R codes: OpenMx_scores_input.R . SampleColumns.R . aggregateVarimp.R . biodiversity.R . bootstrap.R . boruta.R . calculateBestSubsets.R . checkControl.R . checkLevelOfMeasurement.R . checkModel.R . coef.R . coef_ctsem.R . colmap.R . computeOOBWeights.R . computePval_maxLR.R . conditional.R . containsHeywoodCases.R . continue.splitting.R . contributions.R . createBinaries.R . crossvalidatedSplit.R . ctsemScores.R . cvLikelihood.R . diversityMatrix.R . evalForestOob.R . evaluate.semforest.R . evaluateDataLikelihood.R . evaluateTree.R . evaluateTreeConditional.R . evaluateTreeFocus.R . fairSplit.R . findDefinitionVariables.R . findOtherSplits.R . fitSubmodels.R . gefp_semtree.R . get.children.map.R . getCovariatesFromTree.R . getExpectedCov.R . getExpectedMean.R . getHeight.R . getIdParameterMapping.R . getLeafs.R . getLikelihood.R . getModelList.R . getModelType.R . getNodeById.R . getNumNodes.R . getOCParameterNames.R . getOOBlikelihood.R . getParDiffForest.R . getParDiffTree.R . getPredictorsLavaan.R . getPredictorsOpenMx.R . getTerminalNodes.R . growTree.R . growth_trajectories.R . hellinger.R . indexing.R . invarianceFilter.R . isLeaf.R . kl.R . latex_escape.R . lgcm.R . logLik.R . mergeForests.R . minus2logLik_from_fitted_models.R . missingDataModel.R . modelEstimates.R . mxAddNewModelData.R . mxScores.R . naiveSplit.R . naiveSplitScoreTest.R . nobs.MxRAMModel.R . nobs.R . nobs.ctsemFit.R . nodeFunSemtree.R . outliers.R . parameters.R . partialDependence.R . partialDependenceDataset.R . plot.diversityMatrix.R . plot.partialDependence.R . plot.proximity.R . plot.semforest.varimp.R . plot.semtree.R . plot.varimpConvergence.R . plotParDiffForest.R . plotParDiffTree.R . plotTreeStructure.R . plusOperator.R . postprocess.R . predict.semtree.R . predict_methods.R . predict_tree.R . print.semforest.R . print.semforest.control.R . print.semforest.varimp.R . print.semtree.R . print.semtree.control.R . print.summary.semtree.R . proximity.R . prune.R . prune.semforest.R . prune.semtree.R . recodeAllSubsets.R . recodeOrdered.R . relative.misfit.R . render_tree.R . render_tree_recursively.R . replaceParametersInMxConstraints.R . report.R . safeRunAndEvaluate.R . scoreSplit.R . sctest_continuous.R . sctest_continuous2.R . sctest_dummy.R . sctest_multinomial.R . sctest_ordinal.R . se.R . semforest.R . semforest.control.R . semtree-package.R . semtree.R . semtree.apply.wrapper.R . semtree.control.R . semtreeApplyWrapper.R . setData.R . setGlobal.R . stoppingRuleDefault.R . stripTree.R . subforest.R . subtree.R . summary.semforest.R . summary.semtree.R . testInvariance.R . toLatex.R . toLatex.semtree.R . toTable.R . traverse.R . traverse.fun.R . traverseConditional.R . tree.constraints.R . treeDivergence.R . ui.R . varimp-convergence-plot.R . varimp.R . varimpFocus.R . varimpTree.R . vcov_semtree.R .  Full semtree package functions and examples
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