FFTrees2.0.0 package

Add an FFT definition to tree definitions

Add nodes to an FFT definition

Add decision statistics to data (based on frequency counts of a 2x2 cl...

Compute classification statistics for binary prediction and criterion ...

Fit and predict competing classification algorithms

Describe data

Drop a node from an FFT definition

Edit nodes in an FFT definition

Clean factor variables in prediction data

Open the FFTrees package guide

Main function to create and apply fast-and-frugal trees (FFTs)

Apply an FFT to data and generate accuracy statistics

Create an object of class FFTrees

Calculate thresholds that optimize some statistic (goal) for cues in d...

Create FFT definitions

Describe a fast-and-frugal tree (FFT) in words

Fit competitive algorithms

Grow fast-and-frugal trees (FFTs) using the fan algorithms

Rank FFTs by current goal

Perform a grid search over factor and return accuracy statistics for a...

Perform a grid search over thresholds and return accuracy statistics f...

Convert a verbal description of an FFT into an FFTrees object

Flip exits in an FFT definition

Select the best tree (from current set of FFTs)

Get exit type (from a vector x of FFT exit descriptions)

Get FFT definitions (from an FFTrees object x)

Cue costs for the heartdisease data

Heart disease testing data

Heart disease training data

Provide a verbal description of an FFT

Plot an FFTrees object

Predict classification outcomes or probabilities from data

Print basic information of fast-and-frugal trees (FFTs)

Read an FFT definition from tree definitions

Reorder nodes in an FFT definition

Select nodes from an FFT definition

Visualize cue accuracies (as points in ROC space)

Summarize an FFTrees object

Write an FFT definition to tree definitions