RFclust
0.1.2Random Forest Cluster Analysis
Overview
Tools to perform random forest consensus clustering of different data types. The package is designed to accept a list of matrices from different assays, typically from high-throughput molecular profiling so that class discovery may be jointly performed. For references, please see Tao Shi & Steve Horvath (2006) doi:10.1198/106186006X94072 & Monti et al (2003) doi:10.1023/A:1023949509487 .
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 50%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
Author records are not tracked yet for this package.
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 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
- 0.1.2Latest
- RR 4.2.0 released · 2022-04-22
- 0.1.12021-06-02
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-06-02
- Total releases
- 2 / 5 yrs
- License
- GPL
- Minimum R
- ≥ 3.5.0
- Bundled data
- 1.7 MB / 2 files
- Download size
- 1.7 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("RFclust")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.