R: Recursive Partitioning for Structural Equation Models

# Recursive Partitioning for Structural Equation Models

## Documentation for package ‘semtree’ version 0.9.23

- 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