Interactive Visualization Tool for Random Forests
Overview
An interactive data visualization and exploration toolkit that implements Breiman and Cutler's original random forest Java based visualization tools in R, for supervised and unsupervised classification and regression within the algorithm random forest.
- Changed 2-D XYZ Scatterplot to 3-D.
- Added capability for visualizing unsupervised Random Forests.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 4includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 75%
Downloads
Dependencies
Installing rfviz adds 8 packages (4 with compiled code, 6.4 MB of source tarballs). Heaviest: loon 4.1 MB, rlang 766 KB, cli 629 KB.
Code & Tests
Datasets
People & History
Maintainer since 1.0.0 (2018)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.0.1Latest
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.0.02018-11-18
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-11-18
- Total releases
- 2 / 8 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.1
- Bundled data
- 4.5 KB / 1 file
- Download size
- 12 KB
Cite
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