Fast Random Number Generation with Multiple Engines and Distributions
Overview
Random number generation library implemented in C with multiple engines and distribution functions, providing an R interface focused on correctness, speed, and reproducibility. Supports various PRNGs including xoshiro256++/**, PCG64, Philox, and ChaCha20, with methods for continuous, discrete, and multivariate distributions.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK6 OK2026-04-23
Documentation
- Help pages
- 3includes a package overview page
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 50%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 42
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Releases over time
Issues over time
Commits over time
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/jonasson2/randompack on 2026-10-21.
This repository shows signs of AI coding tools.
- Claude Codefirst seen 2026-03-03Seen in the repository: CLAUDE.mdNamed in .gitignore: .claude
Dependencies
Installing randompack adds 1 package (0 with compiled code, 63 KB of source tarballs). Heaviest: R6 63 KB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- 0.1.10Latest
- RR 4.6.0 released · 2026-04-24
- 0.1.32026-04-22
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-22
- Total releases
- 2 / 1 yrs
- License
- BSD_3_clause + file LICENSE OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 115 KB
Cite
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Run in R for the authors' preferred citation:
citation("randompack")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
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