Spline Trees
|
|
splineTree()
|
Build a splinetree model. |
|
stPrint()
|
Print a spline tree in the style of print.rpart |
|
treeSummary()
|
Returns the tree frame. |
|
predictCoeffs()
|
Predict spline coefficients for a testset using a spline tree |
|
predictY()
|
Predictions from a spline tree |
|
projectedR2()
|
Computes percent of variation in projected response explained by a splinetree. |
|
yR2()
|
Computes percent of variation in response explained by spline tree. |
|
treeSimilarity()
|
Returns a measure of how similar the two trees are. |
|
treeSize()
|
Returns number of terminal nodes in a tree. |
|
getNodeData()
|
Retrieve the subset of the data found at a given terminal node |
|
terminalNodeSummary()
|
Prints a summary of a terminal node in a tree |
Spline Forests
|
|
splineForest()
|
Build a spline random forest. |
|
avSize()
|
Compute the average tree size in a forest |
|
pruneForest()
|
Prune each tree in forest using a given complexity parameter. |
|
predictCoeffsForest()
|
Predict spline coefficients for a testset using a splineforest. |
|
predictYForest()
|
Predict responses for a testset using a splineforest. |
|
projectedR2Forest()
|
Computes a level-based or shape-based evaluation metric for a splineforest. |
|
yR2Forest()
|
Computes a level-based evaluation metric for a splineforest that was built WITH an intercept. |
|
varImpCoeff()
|
Random Forest Variable Importance based on spline coefficients |
|
varImpY()
|
Random Forest Variable Importance based on Y |
|
plotImp()
|
Create a barplot of relative variable importance scores. |