Recursive Partitioning for Structural Equation Models

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Documentation for package ‘semtree’ version 0.9.22

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Code demos. Use demo() to run them.
• Package NEWS.

Help Pages

semtree-package	SEM Tree Package
.SCALE_METRIC	SEM Tree Package
biodiversity	Quantify bio diversity of a SEM Forest
boruta	Run the Boruta algorithm on a sem tree
coef.semtree	Return the parameter estimates of a given leaf of a SEM tree
computePval_maxLR	Wrapper function for computing the maxLR corrected p value from strucchange
diversityMatrix	Diversity Matrix
evaluate	Average Deviance of a Dataset given a Forest
evaluate.semforest	Average Deviance of a Dataset given a Forest
evaluateDataLikelihood	Compute the Negative Two-Loglikelihood of some data given a model (either OpenMx or lavaan)
evaluateTree	Evaluate Tree -2LL
findOtherSplits	Find Other Node Split Values
fitSubmodels	Fit multigroup model for evaluating a candidate split
getDepth	Get the depth (or, height) a tree.
getHeight	Determine Height of a Tree
getLeafs	Get a list of all leafs in a tree
getNodeById	Get Node By Id
getNumNodes	Tree Size
getParDiffForest	Return list with parameter differences of a forest
getParDiffTree	Return table with parameter differences of a tree
getTerminalNodes	Returns all leafs of a tree
hellinger	Distances
isLeaf	Test whether a semtree object is a leaf.
kl	Distances
klsym	Distances
lgcm	Simulated Linear Latent Growth Curve Data
merge.semforest	Merge two SEM forests
modelEstimates	Returns all estimates of a tree
nodeFunSemtree	SEM Tree: Recursive Partitioning for Structural Equation Models
outliers	Find outliers based on case proximity
parameters	SEMtrees Parameter Estimates Table
partialDependence	Compute partial dependence
partialDependence_data	Create dataset to compute partial dependence
partialDependence_growth	Compute partial dependence for latent growth models
plot.boruta	Run the Boruta algorithm on a sem tree
plot.semforest	Create a SEM Forest
plot.semforest.varimp	SEM Forest Variable Importance
plot.semtree	SEM Tree: Recursive Partitioning for Structural Equation Models
plotParDiffForest	Plot parameter differences
plotParDiffTree	Plot parameter differences
plotTreeStructure	Plot tree structure
predict.semforest	Predict method for semtree and semforest
print.boruta	Run the Boruta algorithm on a sem tree
print.semforest	Create a SEM Forest
print.semforest.control	SEM Forest Control Object
print.semforest.varimp	SEM Forest Variable Importance
print.semtree	SEM Tree: Recursive Partitioning for Structural Equation Models
print.semtree.control	SEM Tree Control Object
proximity	Compute proximity matrix
prune	Prune a SEM Tree or SEM Forest
prune.semforest	Prune a SEM Tree or SEM Forest
prune.semtree	Prune a SEM Tree or SEM Forest
se	SEMtrees Parameter Estimates Standard Error Table
semforest	Create a SEM Forest
semforest.control	SEM Forest Control Object
semforest_control	SEM Forest Control Object
semforest_score_control	SEM Forest Control Object
semtree	SEM Tree: Recursive Partitioning for Structural Equation Models
semtree.constraints	SEM Tree Constraints Object
semtree.control	SEM Tree Control Object
semtree_control	SEM Tree Control Object
strip	Retain only basic tree structure
subforest	Creates subsets of trees from forests
subtree	SEMtree Partitioning Tool
summary.semtree	SEM Tree: Recursive Partitioning for Structural Equation Models
toLatex.semtree	SEM Tree: Recursive Partitioning for Structural Equation Models
toTable	Tabular Representation of a SEM Tree
varimp	SEM Forest Variable Importance
varimpConvergencePlot	SEM Forest Variable Importance