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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 05 Jun. 2026.
Previous versions and publish date:
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)
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