| 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 classification outcomes) | 
| blood | Blood donation data | 
| breastcancer | Physiological data of patients tested for breast cancer | 
| car | Car acceptability data | 
| classtable | Compute classification statistics for binary prediction and criterion (e.g.; truth) vectors | 
| comp_pred | Fit and predict competing classification algorithms | 
| 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 | Main function to create and apply fast-and-frugal trees (FFTs) | 
| FFTrees.guide | Open the *FFTrees* package guide | 
| 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_fitcomp | Fit competitive algorithms | 
| 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 |