Optimized Integer Risk Score Models
Overview
Implements an optimized approach to learning risk score models, where sparsity and integer constraints are integrated into the model-fitting process.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-08
- ERROR12 OK, 1 ERROR2026-06-07
- OK14 OK2026-03-10
Documentation
- Help pages
- 20 (1 internal)
- Examples that run
- 100%11 run in a plain check
- Exported functions with examples
- 58%
- Documented parameters
- 100%
- Return-value docs
- 91%
- Help pages citing references
- 0%
- Risk Score Vignette HTML
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Commits over time
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/hjeglinton/riskscores on 2026-10-11.
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 1.3.0Latest
- RR 4.6.0 released · 2026-04-24
- 1.2.32025-07-28 · diff ↗
- 1.2.12025-05-30 · diff ↗ ·
removed 1 export
cv_risk_mod_random_startadded 2 exports
plot_accuracy.cv_risk_mod, plot_deviance.cv_risk_mod - RR 4.5.0 released · 2025-04-11
- 1.1.12024-04-24 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.1.0
- 1.0.22023-12-14
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-12-14
- Total releases
- 6 / 3 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 2.7 KB / 1 file
- Download size
- 80 KB
Cite
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