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 |