sondage
0.9.1Survey Sampling Algorithms
Overview
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
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-059 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-08-048 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 35%
Downloads
Repository
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Code & Tests
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2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.9.1Latest
- 0.9.02026-08-03
- RR 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
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