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Yet another implementation of the Random Forest method by Breiman (2001) <doi:10.1023/A:1010933404324>, written in Rust and tailored towards stability, correctness, efficiency and scalability on modern multi-core machines. Handles both classification and regression, as well as provides permutation feature importance via a novel, highly optimised algorithm.
| Version: | 0.0.3 |
| Published: | 2026-02-05 |
| DOI: | 10.32614/CRAN.package.fru |
| Author: | Miron Bartosz Kursa
|
| Maintainer: | Miron Bartosz Kursa <m at mbq.me> |
| BugReports: | https://gitlab.com/mbq/fru/-/issues |
| License: | GPL-3 |
| URL: | https://gitlab.com/mbq/fru |
| NeedsCompilation: | yes |
| SystemRequirements: | Cargo (Rust's package manager) >= 1.85, rustc >= 1.85 |
| CRAN checks: | fru results |
| Reference manual: | fru.html , fru.pdf |
| Package source: | fru_0.0.3.tar.gz |
| Windows binaries: | r-devel: fru_0.0.2.zip, r-release: fru_0.0.3.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
| Old sources: | fru archive |
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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.