Package: FFTrees 2.1.0.9001

Hansjoerg Neth

FFTrees: Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees

Create, visualize, and test fast-and-frugal decision trees (FFTs) using the algorithms and methods described by Phillips, Neth, Woike & Gaissmaier (2017), <doi:10.1017/S1930297500006239>. FFTs are simple and transparent decision trees for solving binary classification problems. FFTs can be preferable to more complex algorithms because they require very little information, are easy to understand and communicate, and are robust against overfitting.

Authors:Nathaniel Phillips [aut], Hansjoerg Neth [aut, cre], Jan Woike [aut], Wolfgang Gaissmaier [aut]

FFTrees_2.1.0.9001.tar.gz
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FFTrees_2.1.0.9001.tgz(r-4.6-any)FFTrees_2.1.0.9001.tgz(r-4.5-any)
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manual.pdf |manual.html✨
card.svg |card.png
FFTrees/json (API)
NEWS

# Install 'FFTrees' in R:

install.packages('FFTrees', repos = c('https://ndphillips.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ndphillips/fftrees/issues

Datasets:

blood - Blood donation data
breastcancer - Breast cancer data
car - Car acceptability data
contraceptive - Contraceptive use data
creditapproval - Credit approval data
fertility - Fertility data
forestfires - Forest fires data
heart.cost - Cue costs for the 'heartdisease' data
heart.test - Heart disease testing data
heart.train - Heart disease training data
heartdisease - Heart disease data
iris.v - Iris data
mushrooms - Mushrooms data
sonar - Sonar data
titanic - Titanic survival data
voting - Voting data
wine - Wine tasting data

On CRAN:

9.02 score 137 stars 156 scripts 332 downloads 25 exports 93 dependencies

Last updated from:6f2661874e. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	249
source / vignettes	OK	260
linux-release-x86_64	OK	297
macos-release-arm64	OK	259
macos-oldrel-arm64	OK	209
windows-devel	OK	238
windows-release	OK	220
windows-oldrel	OK	234
wasm-release	OK	130

Exports:add_fft_df add_nodes describe_data drop_nodes edit_nodes FFTrees fftrees_apply fftrees_create fftrees_cuerank fftrees_define fftrees_ffttowords fftrees_threshold_factor_grid fftrees_threshold_numeric_grid fftrees_wordstofftrees FFTrees.guide flip_exits get_best_tree get_exit_type get_fft_df inwords read_fft_df reorder_nodes select_nodes showcues write_fft_df

Dependencies:brio callr caret class cli clock codetools cpp11 crayon data.table desc diagram diffobj digest dplyr e1071 evaluate farver foreach fs future future.apply generics ggplot2 globals glue gower gtable hardhat highr ipred isoband iterators jsonlite KernSmooth knitr labeling lattice lava lifecycle listenv lubridate magrittr MASS Matrix ModelMetrics nlme nnet numDeriv parallelly pillar pkgbuild pkgconfig pkgload plyr praise pROC processx prodlim progressr proxy ps purrr R6 RColorBrewer Rcpp recipes reshape2 rlang rpart rprojroot S7 scales shape sparsevctrs SQUAREM stringi stringr survival testthat tibble tidyr tidyselect timechange timeDate tzdb utf8 vctrs viridisLite waldo withr xfun yaml

Accuracy statistics in FFTrees

Nathaniel Phillips and Hansjörg Neth

Rendered fromFFTrees_accuracy_statistics.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2024-05-21
Started: 2022-07-27

Creating FFTs with FFTrees()

Nathaniel Phillips and Hansjörg Neth

Rendered fromFFTrees_function.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2024-05-21
Started: 2016-08-23

Examples of FFTrees

Nathaniel Phillips and Hansjörg Neth

Rendered fromFFTrees_examples.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2026-05-02
Started: 2016-08-23

Manually specifying FFTs

Hansjörg Neth and Nathaniel Phillips

Rendered fromFFTrees_mytree.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2026-05-02
Started: 2017-05-30

Overview: Creating FFTs with FFTrees

Nathaniel D. Phillips and Hansjörg Neth

Rendered fromguide.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2024-05-21
Started: 2016-10-07

Tutorial: Creating FFTs for heart disease

Nathaniel Phillips and Hansjörg Neth

Rendered fromFFTrees_heart.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2025-09-02
Started: 2017-06-21

Visualising FFTs

Nathaniel Phillips and Hansjörg Neth

Rendered fromFFTrees_plot.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2026-05-02
Started: 2016-08-23

Help page	Topics
Add an FFT definition to tree definitions	add_fft_df
Add nodes to an FFT definition	add_nodes
Add decision statistics to data (based on frequency counts of a 2x2 matrix of classification outcomes)	add_stats
Blood donation data	blood
Breast cancer data	breastcancer
Car acceptability data	car
Compute classification statistics for binary prediction and criterion (e.g.; truth) vectors	classtable
Contraceptive use data	contraceptive
Credit approval data	creditapproval
Describe data	describe_data
Drop a node from an FFT definition	drop_nodes
Edit nodes in an FFT definition	edit_nodes
Clean factor variables in prediction data	fact_clean
Fertility data	fertility
Main function to create and apply fast-and-frugal trees (FFTs)	FFTrees FFTrees-function
Calculate thresholds that optimize some statistic (goal) for cues in data	fftrees_cuerank
Describe a fast-and-frugal tree (FFT) in words	fftrees_ffttowords
Grow fast-and-frugal trees (FFTs) using the 'fan' algorithms	fftrees_grow_fan
Rank FFTs by current goal	fftrees_ranktrees
Perform a grid search over factor and return accuracy statistics for a given factor cue	fftrees_threshold_factor_grid
Perform a grid search over thresholds and return accuracy statistics for a given numeric cue	fftrees_threshold_numeric_grid
Convert a verbal description of an FFT into an 'FFTrees' object	fftrees_wordstofftrees
Open the FFTrees package guide	FFTrees.guide
Flip exits in an FFT definition	flip_exits
Forest fires data	forestfires
Select the best tree (from current set of FFTs)	get_best_tree
Get exit type (from a vector 'x' of FFT exit descriptions)	get_exit_type
Get FFT definitions (from an 'FFTrees' object 'x')	get_fft_df
Cue costs for the 'heartdisease' data	heart.cost
Heart disease testing data	heart.test
Heart disease training data	heart.train
Heart disease data	heartdisease
Provide a verbal description of an FFT	inwords
Iris data	iris.v
Mushrooms data	mushrooms
Plot an 'FFTrees' object	plot.FFTrees
Predict classification outcomes or probabilities from data	predict.FFTrees
Print basic information of fast-and-frugal trees (FFTs)	print.FFTrees
Read an FFT definition from tree definitions	read_fft_df
Reorder nodes in an FFT definition	reorder_nodes
Select nodes from an FFT definition	select_nodes
Visualize cue accuracies (as points in ROC space)	showcues
Sonar data	sonar
Summarize an 'FFTrees' object	summary.FFTrees
Titanic survival data	titanic
Voting data	voting
Wine tasting data	wine
Write an FFT definition to tree definitions	write_fft_df

Package: FFTrees 2.1.0.9001

FFTrees: Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees

Accuracy statistics in FFTrees

Creating FFTs with FFTrees()

Examples of FFTrees

Manually specifying FFTs

Overview: Creating FFTs with FFTrees

Tutorial: Creating FFTs for heart disease

Visualising FFTs

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)