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>).
| Version: | 0.9.1 |
| Depends: | R (≥ 4.1.0) |
| Suggests: | knitr, rmarkdown, sampling, testthat (≥ 3.0.0) |
| Published: | 2026-08-04 |
| DOI: | 10.32614/CRAN.package.sondage |
| Author: | Ahmadou Dicko |
| Maintainer: | Ahmadou Dicko <mail at ahmadoudicko.com> |
| BugReports: | https://gitlab.com/dickoa/sondage/-/work_items |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://dickoa.gitlab.io/sondage, https://gitlab.com/dickoa/sondage |
| NeedsCompilation: | yes |
| Language: | en-US |
| Materials: | README |
| CRAN checks: | sondage results |
| Reference manual: | sondage.html , sondage.pdf |
| Vignettes: |
Extending sondage with Custom Methods (source, R code) Getting Started with sondage (source, R code) |
| Package source: | sondage_0.9.1.tar.gz |
| Windows binaries: | r-devel: sondage_0.9.0.zip, r-release: sondage_0.9.1.zip, r-oldrel: sondage_0.9.0.zip |
| macOS binaries: | r-release (arm64): sondage_0.9.1.tgz, r-oldrel (arm64): sondage_0.9.0.tgz, r-release (x86_64): sondage_0.9.1.tgz, r-oldrel (x86_64): sondage_0.9.1.tgz |
| Old sources: | sondage archive |
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