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 |