Rcpp Machine Learning Library
Overview
Fast machine learning algorithms including matrix factorization and divisive clustering for large sparse and dense matrices.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-14
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- ERROR12 OK, 1 ERROR2026-07-13
- OK13 OK2026-05-02
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
- NOTE6 OK, 8 NOTE2026-03-10
Documentation
- Help pages
- 9includes a package overview page
- Examples that run
- 0%8 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 88%
- Help pages citing references
- 56%
Downloads
Repository
- PRs merged (all time)
- 93%
- Median days to close, 50 most recently updated closed issues
- 2
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Issues over time
PRs over time
Commits over time
9 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/zdebruine/rcppml on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-04-06 · The repository has a site deploy workflow
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This repository shows signs of AI coding tools.
- GitHub Copilotfirst seen 2026-03-08Seen in the repository: .github/copilot-instructions.md
Dependencies
Installing RcppML adds 2 packages (2 with compiled code, 3.5 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.3.7.1Latest
- 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
- 0.3.72021-09-21 · diff ↗
- 0.3.5
- 0.1.02021-07-28
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-07-28
- Total releases
- 4 / 5 yrs
- License
- GPL (>= 2) OSI
- Download size
- 45 KB
Cite
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