RMSS
1.2.4Robust Multi-Model Subset Selection
Overview
Efficient algorithms for generating ensembles of robust, sparse and diverse models via robust multi-model subset selection (RMSS). The robust ensembles are generated by minimizing the sum of the least trimmed square loss of the models in the ensembles under constraints for the size of the models and the sharing of the predictors. Tuning parameters for the robustness, sparsity and diversity of the robust ensemble are selected by cross-validation.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2212 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
9 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.2.4Latest
- 1.2.32025-12-17 · diff ↗
- 1.2.22025-09-23 · diff ↗
- 1.2.12025-08-19 · diff ↗
- 1.2.02025-07-17 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.1.22024-12-20 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.1.12023-09-14 · diff ↗
- 1.1.02023-08-17 · diff ↗
- 1.0.02023-06-11
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-06-11
- Total releases
- 9 / 3 yrs
- License
- GPL (>= 2) OSI
- Download size
- 61 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("RMSS")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.