Multivariate Random Forest with Compositional Responses
Overview
Multivariate random forests with compositional responses and Euclidean predictors is performed. The compositional data are first transformed using the additive log-ratio transformation, or the alpha-transformation of Tsagris, Preston and Wood (2011), doi:10.48550/arXiv.1106.1451, and then the multivariate random forest of Rahman R., Otridge J. and Pal R. (2017), doi:10.1093/bioinformatics/btw765, is applied.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE11 OK, 3 NOTE2026-04-22
- ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 6includes a package overview page
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 96%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- 1.7Latest
- RR 4.6.0 released · 2026-04-24
- 1.62026-02-28 · diff ↗
- 1.42025-09-08 · diff ↗
- 1.32025-07-10 · diff ↗
- 1.2
- 1.12025-05-07 · diff ↗ ·
removed 3 exports
pattern:^[[:alpha:]]+, pattern:^[^\\.], .onAttachadded 2 exports
comp.rf, cv.comprf - RR 4.5.0 released · 2025-04-11
- 1.02024-10-02
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-10-02
- Total releases
- 7 / 2 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0
- Download size
- 18 KB
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