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wrswoR

1.2.1

Weighted Random Sampling without Replacement

6packages depend
39.9Kdownloads / year
97.2%test coverage
13/13checks pass

Overview

About
Maintained by Kirill MüllerFirst published 2016-02-226 releasesCRAN page ↗GitHub ↗

A collection of implementations of classical and novel algorithms for weighted sampling without replacement.

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.67
97.2%
Coverage · measured lines
100%
Documentation · exports
1
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 98 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
100%

Downloads

39.9K
CRAN downloads in the past year
Rank #2,293 · ~109/day · ~3.3K/mo
Daily download trend is not available in this view yet.
2.5K30 days
8.3K90 days
39.9K1 year
Compare downloads with other packages →
Also on496 r2u14 autocran2.8K conda_forge66 c2d4u

Repository

Repository
20Stars
4Forks
0Open issues
0Open PRs
3Releases
1,005Commits
8Contributors
1,005 commits · Last activity 2026-08-09 · 0% stars, 30d

Stars over time

2024-11-22 · 192026-07-07 · 20

Repository practices

Upstream repositoryBeta

8 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/krlmlr/wrswor on 2026-08-16.

Continuous integration (2)
GitHub Actionstic
Reproducibility and dev environment (2)
data-raw/Makefile
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Show all practices
Lint, format, editor (2)
lintrRStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: copilot on 2025-11-08

copilotclaude

Most recent: claude on 2026-05-16

Evidence
  • copilot: on 2025-11-08 · evidence A, PR · sole bot-author seen
  • claude: on 2026-05-16 · evidence B
How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.0.2
Imports (1)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
6direct
0indirect

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Listed in earlier versions (1)
no longer listed · 1.1.1 to 1.2.1
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.2.1Latest
    2026-05-13 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.0
    2025-11-10 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1.1
    2020-07-26 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.1
    2018-02-02 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0-1
    2016-03-03 · diff ↗
Show 2 earlier events
  • 1.0
    2016-02-22
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2016-02-22
Total releases
6 / 10 yrs
License
GPL-3 OSI
Minimum R
≥ 3.0.2
Download size
16 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("wrswoR")
Müller, K. (2026). wrswoR: Weighted Random Sampling without Replacement (Version 1.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.wrswoR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for wrswoR version 1.2.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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