Package index • FFTrees

All functions

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

FFTrees.guide(): Open the FFTrees package guide

add_fft_df(): Add an FFT definition to tree definitions

add_nodes(): Add nodes to an FFT definition

add_stats(): Add decision statistics to data (based on frequency counts of a 2x2 matrix of classification outcomes)

blood: Blood donation data

breastcancer: Breast cancer data

car: Car acceptability data

classtable(): Compute classification statistics for binary prediction and criterion (e.g.; truth) vectors

contraceptive: Contraceptive use data

creditapproval: Credit approval data

describe_data(): Describe data

drop_nodes(): Drop a node from an FFT definition

edit_nodes(): Edit nodes in an FFT definition

fact_clean(): Clean factor variables in prediction data

fertility: Fertility data

fftrees_cuerank(): Calculate thresholds that optimize some statistic (goal) for cues in data

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

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

fftrees_ranktrees(): Rank FFTs by current goal

fftrees_threshold_factor_grid(): Perform a grid search over factor and return accuracy statistics for a given factor cue

fftrees_threshold_numeric_grid(): Perform a grid search over thresholds and return accuracy statistics for a given numeric cue

fftrees_wordstofftrees(): Convert a verbal description of an FFT into an FFTrees object

flip_exits(): Flip exits in an FFT definition

forestfires: Forest fires data

get_best_tree(): Select the best tree (from current set of FFTs)

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

get_fft_df(): Get FFT definitions (from an FFTrees object x)

heart.cost: Cue costs for the heartdisease data

heart.test: Heart disease testing data

heart.train: Heart disease training data

heartdisease: Heart disease data

inwords(): Provide a verbal description of an FFT

iris.v: Iris data

mushrooms: Mushrooms data

plot(<FFTrees>): Plot an FFTrees object

predict(<FFTrees>): Predict classification outcomes or probabilities from data

print(<FFTrees>): Print basic information of fast-and-frugal trees (FFTs)

read_fft_df(): Read an FFT definition from tree definitions

reorder_nodes(): Reorder nodes in an FFT definition

select_nodes(): Select nodes from an FFT definition

showcues(): Visualize cue accuracies (as points in ROC space)

sonar: Sonar data

summary(<FFTrees>): Summarize an FFTrees object

titanic: Titanic survival data

voting: Voting data

wine: Wine tasting data

write_fft_df(): Write an FFT definition to tree definitions