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sondage

0.9.1

Survey Sampling Algorithms

0packages depend
149downloads / year
94.0%test coverage
11/13checks pass

Overview

About
Maintained by Ahmadou DickoFirst published 2026-08-032 releasesCRAN page ↗GitLab ↗

Fast implementations of survey sampling algorithms for single-stage probability sampling from finite populations, written in C. Provides equal probability methods (simple random sampling, systematic, Bernoulli), unequal probability methods (conditional Poisson / maximum entropy, Sampford, Brewer, systematic PPS, Pareto, sequential Poisson, Poisson, Chromy's minimum replacement, multinomial), balanced sampling via the cube method, and spatially balanced sampling via the local pivotal method and spatially correlated Poisson sampling. All sampling functions return design objects carrying sample indices, inclusion probabilities, and design metadata. Generics compute joint inclusion probabilities, pairwise expectations, and sampling covariances for variance estimation. Mostly based on algorithms from Tillé (2006, doi:10.1007/0-387-34240-0).

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 4.0 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 1.78
94.0%
Coverage · measured lines
100%
Documentation · exports
0
Dependencies · direct
Check history
  • NOTE2026-08-05
    9 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-08-04
    8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,391 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
35%

Downloads

149
CRAN downloads in the past year
Rank #24,537 · ~0/day · ~12/mo
sondage
Daily download trend is not available in this view yet.
14930 days
14990 days
1491 year
Compare downloads with other packages →

Repository

Repository practices

Upstream repositoryBeta

Repository gitlab.com/dickoa/sondage is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (2)
Contributor
Contributor, Copyright holder
Copyright holders (1)
Contributor, Copyright holder
Package Timeline

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

  • 0.9.1Latest
    2026-08-05 · current release · diff ↗
  • 0.9.0
    2026-08-03
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-08-03
Total releases
2 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.1.0
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sondage")
Dicko, A., Lumley, T., & Prentius, W. (2026). sondage: Survey Sampling Algorithms (Version 0.9.1) [Computer software]. https://doi.org/10.32614/CRAN.package.sondage

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 sondage version 0.9.1 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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