splinetree0.2.0 package

Compute the average tree size in a forest

Flattens predictor variable data into one row per person

Get the basis matrix to be used for this spline tree

Retrieve the subset of the data found at a given terminal node

Get spline coefficients for a single person

Plots the trajectories of each terminal node side by side.

Create a barplot of relative variable importance scores.

Plot the predicted trajectory for a single node

Predict responses for the training data

Predict spline coefficients for a testset using a spline tree

Predict spline coefficients for a testset using a splineforest.

Predictions from a spline tree

Predict responses for a testset using a splineforest.

Computes percent of variation in projected response explained by a spl...

Computes a level-based or shape-based evaluation metric for a splinefo...

Prune each tree in forest using a given complexity parameter.

Calculates coordinates for tree plot

Create a faceted spaghetti plot of a splinetree model

Custom rpart eval function.

Custom rpart init function

Custom rpart split function.

Build a spline random forest.

Custom rpart split function for spline random forests

Build a splinetree model.

Creates a tree plot of a spline tree.

Plots a splinetree.

Print a spline tree in the style of print.rpart

Prints a summary of a terminal node in a tree

Given a list of node numbers, returns the depth at which these appear ...

Returns a measure of how similar the two trees are.

Returns number of terminal nodes in a tree.

Returns the tree frame.

Random Forest Variable Importance based on spline coefficients

Random Forest Variable Importance based on Y

Computes percent of variation in response explained by spline tree.

Computes a level-based evaluation metric for a splineforest that was b...