The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Implementations of three diversity forest (DF) (Hornung, 2022, <doi:10.1007/s42979-021-00920-1>) variants. The DF algorithm is a split-finding approach that allows complex split procedures to be realized in random forest variants. The three DF variants implemented are: 1. interaction forests (IFs) (Hornung & Boulesteix, 2022, <doi:10.1016/j.csda.2022.107460>): Model quantitative and qualitative interaction effects using bivariable splitting. Come with the Effect Importance Measure (EIM), which can be used to identify variable pairs that have well-interpretable quantitative and qualitative interaction effects with high predictive relevance. 2. multi forests (MuFs) (Hornung & Hapfelmeier, 2024, <doi:10.48550/arXiv.2409.08925>): Model multi-class outcomes using multi-way and binary splitting. Come with two variable importance measures (VIMs): The multi-class VIM measures the degree to which the variables are specifically associated with one or more outcome classes, and the discriminatory VIM, similar to conventional VIMs, measures the overall influence strength of the variables. 3. the basic form of diversity forests that uses conventional univariable, binary splitting (Hornung, 2022). Except for multi forests, which are tailored for multi-class outcomes, all included diversity forest variants support categorical, metric, and survival outcomes. The package also includes plotting functions that make it possible to learn about the forms of the effects identified using IFs and MuFs. This is a fork of the R package 'ranger' (main author: Marvin N. Wright), which implements random forests using an efficient C++ implementation.
| Version: | 0.5.0 |
| Depends: | R (≥ 3.5) |
| Imports: | Rcpp (≥ 0.11.2), Matrix, ggplot2, ggpubr, scales, nnet, sgeostat, rms, MapGAM, gam, rlang, grDevices, RColorBrewer, RcppEigen, survival, patchwork |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | testthat, BOLTSSIRR |
| Published: | 2024-09-16 |
| DOI: | 10.32614/CRAN.package.diversityForest |
| Author: | Roman Hornung [aut, cre], Marvin N. Wright [ctb, cph] |
| Maintainer: | Roman Hornung <hornung at ibe.med.uni-muenchen.de> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17 |
| Additional_repositories: | https://romanhornung.github.io/drat |
| Materials: | NEWS |
| CRAN checks: | diversityForest results |
| Reference manual: | diversityForest.pdf |
| Package source: | diversityForest_0.5.0.tar.gz |
| Windows binaries: | r-devel: diversityForest_0.5.0.zip, r-release: diversityForest_0.5.0.zip, r-oldrel: diversityForest_0.5.0.zip |
| macOS binaries: | r-release (arm64): diversityForest_0.5.0.tgz, r-oldrel (arm64): diversityForest_0.5.0.tgz, r-release (x86_64): diversityForest_0.5.0.tgz, r-oldrel (x86_64): diversityForest_0.5.0.tgz |
| Old sources: | diversityForest archive |
Please use the canonical form https://CRAN.R-project.org/package=diversityForest to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.