sondage: Survey Sampling Algorithms

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 [aut, cre], Thomas Lumley [ctb], Wilmer Prentius [ctb, cph] (Author of the BalancedSampling 2.0.6 (GPL >= 2) cube implementation from which src/cube.c was ported)
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

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