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 |