Other packages > Find by keyword >

FFTrees  

Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees
View on CRAN: Click here


Download and install FFTrees package within the R console
Install from CRAN:
install.packages("FFTrees")

Install from Github:
library("remotes")
install_github("cran/FFTrees")

Install by package version:
library("remotes")
install_version("FFTrees", "2.1.0")



Attach the package and use:
library("FFTrees")
Maintained by
Hansjoerg Neth
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-12
Latest Update: 2025-09-03
Description:
Create, visualize, and test fast-and-frugal decision trees (FFTs) using the algorithms and methods described by Phillips, Neth, Woike & Gaissmaier (2017), . 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.
How to cite:
Hansjoerg Neth (2016). FFTrees: Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees. R package version 2.1.0, https://cran.r-project.org/web/packages/FFTrees. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.1 (2016-07-12 13:36), 1.1.0 (2016-07-19 14:54), 1.1.1 (2016-07-22 01:07), 1.1.3 (2016-08-16 23:58), 1.1.4 (2016-08-23 15:25), 1.1.6 (2016-09-10 09:25), 1.1.8 (2016-10-08 21:53), 1.2.2 (2017-04-18 14:52), 1.2.3 (2017-05-04 18:23), 1.3.2 (2017-06-28 18:01), 1.3.3 (2017-07-11 12:31), 1.3.4 (2017-08-28 16:40), 1.3.5 (2017-11-02 01:55), 1.4.0 (2018-09-15 09:20), 1.5.5 (2020-06-08 17:00), 1.6.5 (2022-07-18 09:20), 1.6.6 (2022-07-18 14:30), 1.7.0 (2022-08-31 13:10), 1.7.5 (2022-09-15 11:00), 1.8.0 (2023-01-06 10:00), 1.9.0 (2023-02-08 13:10), 2.0.0 (2023-06-06 01:30)
Other packages that cited FFTrees R package
View FFTrees citation profile
Other R packages that FFTrees depends, imports, suggests or enhances
Complete documentation for FFTrees
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA