Longitudinal Regression Trees and Forests

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Documentation for package ‘splinetree’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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