Man pages for ndphillips/FFTrees
Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees
| 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... |
| blood | Blood donation data |
| breastcancer | Breast cancer data |
| car | Car acceptability data |
| classtable | Compute classification statistics for binary prediction and... |
| 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... |
| fftrees_apply | Apply an FFT to data and generate accuracy statistics |
| fftrees_create | Create an object of class 'FFTrees' |
| fftrees_cuerank | Calculate thresholds that optimize some statistic (goal) for... |
| fftrees_define | Create FFT definitions |
| 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.guide | Open the *FFTrees* package guide |
| FFTrees-package | FFTrees: Generate, Visualise, and Evaluate Fast-and-Frugal... |
| fftrees_ranktrees | Rank FFTs by current goal |
| fftrees_threshold_factor_grid | Perform a grid search over factor and return accuracy... |
| fftrees_threshold_numeric_grid | Perform a grid search over thresholds and return accuracy... |
| fftrees_wordstofftrees | Convert a verbal description of an FFT into an 'FFTrees'... |
| 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 |
| heartdisease | Heart disease data |
| heart.test | Heart disease testing data |
| heart.train | Heart disease training 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 |
