semtree-package | SEM Tree Package |
.SCALE_METRIC | SEM Tree Package |
biodiversity | Quantify bio diversity of a SEM Forest |
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.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.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 |
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 |