Function reference • semtree

All functions
`biodiversity()`	Quantify bio diversity of a SEM Forest
`boruta()`	BORUTA algorithm for SEM trees
`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
`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
`isLeaf()`	Test whether a semtree object is a leaf.
`kl()`	Distances
`lgcm`	Simulated Linear Latent Growth Curve Data
`merge(<semforest>)`	Merge two SEM forests
`modelEstimates()`	Returns all estimates of a tree
`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
`plotParDiffForest()`	Plot parameter differences
`plotParDiffTree()`	Plot parameter differences
`plotTreeStructure()`	Plot tree structure
`predict(<semforest>)`	Predict method for semtree and semforest
`proximity()`	Compute proximity matrix
`prune()`	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
`.SCALE_METRIC`	SEM Tree Package
`semtree()`	SEM Tree: Recursive Partitioning for Structural Equation Models
`semtree.constraints()`	SEM Tree Constraints Object
`semtree.control()`	SEM Tree Control Object
`strip()`	Retain only basic tree structure
`subforest()`	Creates subsets of trees from forests
`subtree()`	SEMtree Partitioning Tool
`toTable()`	Tabular Representation of a SEM Tree
`varimp()`	SEM Forest Variable Importance

Reference

All functions