All functions |
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Main function to create and apply fast-and-frugal trees (FFTs) |
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Open the FFTrees package guide |
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Add an FFT definition to tree definitions |
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Add nodes to an FFT definition |
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Add decision statistics to data (based on frequency counts of a 2x2 matrix of classification outcomes) |
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Blood donation data |
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Breast cancer data |
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Car acceptability data |
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Compute classification statistics for binary prediction and criterion (e.g.; truth) vectors |
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Contraceptive use data |
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Credit approval data |
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Describe data |
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Drop a node from an FFT definition |
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Edit nodes in an FFT definition |
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Clean factor variables in prediction data |
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Fertility data |
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Calculate thresholds that optimize some statistic (goal) for cues in data |
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Describe a fast-and-frugal tree (FFT) in words |
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Grow fast-and-frugal trees (FFTs) using the |
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Rank FFTs by current goal |
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Perform a grid search over factor and return accuracy statistics for a given factor cue |
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Perform a grid search over thresholds and return accuracy statistics for a given numeric cue |
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Convert a verbal description of an FFT into an |
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Flip exits in an FFT definition |
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Forest fires data |
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Select the best tree (from current set of FFTs) |
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Get exit type (from a vector |
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Get FFT definitions (from an |
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Cue costs for the |
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Heart disease testing data |
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Heart disease training data |
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Heart disease data |
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Provide a verbal description of an FFT |
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Iris data |
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Mushrooms data |
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Plot an |
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Predict classification outcomes or probabilities from data |
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Print basic information of fast-and-frugal trees (FFTs) |
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Read an FFT definition from tree definitions |
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Reorder nodes in an FFT definition |
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Select nodes from an FFT definition |
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Visualize cue accuracies (as points in ROC space) |
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Sonar data |
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Summarize an |
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Titanic survival data |
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Voting data |
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Wine tasting data |
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Write an FFT definition to tree definitions |