Other packages > Find by keyword >

diversityForest  

Innovative Complex Split Procedures in Random Forests Through Candidate Split Sampling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("diversityForest", "0.6.0")



Attach the package and use:
library("diversityForest")
Maintained by
Roman Hornung
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-08
Latest Update: 2025-05-05
Description:
Implements interaction forests [1], which are specific diversity forests and the basic form of diversity forests that uses univariable, binary splitting [2]. Interaction forests (IFs) are ensembles of decision trees that model quantitative and qualitative interaction effects using bivariable splitting. IFs come with the Effect Importance Measure (EIM), which can be used to identify variable pairs that feature quantitative and qualitative interaction effects with high predictive relevance. IFs and EIM focus on well interpretable forms of interactions. The package also offers plot functions for visualising the estimated forms of interaction effects. Categorical, metric, and survival outcomes are supported. This is a fork of the R package 'ranger' (main author: Marvin N. Wright) that implements random forests using an efficient C++ implementation. References: [1] Hornung, R. & Boulesteix, A.-L. (2022) Interaction Forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects. Computational Statistics & Data Analysis 171:107460, . [2] Hornung, R. (2022) Diversity forests: Using split sampling to enable innovative complex split procedures in random forests. SN Computer Science 3(2):1, .
How to cite:
Roman Hornung (2020). diversityForest: Innovative Complex Split Procedures in Random Forests Through Candidate Split Sampling. R package version 0.6.0, https://cran.r-project.org/web/packages/diversityForest. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:32), 0.1.0 (2020-01-08 17:20), 0.2.0 (2020-01-29 20:00), 0.3.0 (2021-04-01 23:30), 0.3.1 (2021-04-03 15:50), 0.3.2 (2022-01-05 01:00), 0.3.3 (2022-01-05 13:00), 0.3.4 (2022-06-09 11:10), 0.4.0 (2023-03-08 09:20), 0.5.0 (2024-09-16 17:00)
Other packages that cited diversityForest R package
View diversityForest citation profile
Other R packages that diversityForest depends, imports, suggests or enhances
Complete documentation for diversityForest
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

bbdetection  
Identification of Bull and Bear States of the Market
Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan ...
Download / Learn more Package Citations See dependency  
Rnmr1D  
Perform the Complete Processing of a Set of Proton Nuclear Magnetic Resonance Spectra
Perform the complete processing of a set of proton nuclear magnetic resonance spectra from the free ...
Download / Learn more Package Citations See dependency  
tibble  
Simple Data Frames
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the tradi ...
Download / Learn more Package Citations See dependency  
wordnet  
WordNet Interface
An interface to WordNet using the Jawbone Java API to WordNet. WordNet (< ...
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  
schoolmath  
Functions and Datasets for Math Used in School
Contains functions and datasets for math taught in school. A main focus is set to prime-calculation. ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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