SampleSelectR: Randomly Select Samples for Various Probability-Based Methods
Randomly select samples using simple random sampling (SRS),
systematic sampling, and various probability proportional to size
(PPS) methods, including systematic PPS and sequential PPS (i.e.,
Chromy's method). Also includes functionality to allocate sample
sizes across strata using proportional, power, Neyman, and optimal
allocation methods, and to select samples within strata. Designed to
make survey sample design and selection reproducible, efficient, and
transparent for survey statisticians and researchers. Sampling
methods follow Kalton (1983) <doi:10.4135/9781412984683> and Chromy
(1979) <http://www.asasrms.org/Proceedings/papers/1979_081.pdf>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
data.table, rlang, stats, tidytable, utils |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2026-09-12 |
| DOI: |
10.32614/CRAN.package.SampleSelectR (may not be active yet) |
| Author: |
Stephanie Zimmer [aut, cre],
John David Bunker, Jr. [aut],
Thomas Burkett [aut],
Philip Lee [aut],
Haby Sow [aut],
RTI International [cph, fnd] |
| Maintainer: |
Stephanie Zimmer <sazimmer at rti.org> |
| BugReports: |
https://github.com/RTIInternational/SampleSelectR/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/RTIInternational/SampleSelectR,
https://rtiinternational.github.io/SampleSelectR/ |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
SampleSelectR results |
Documentation:
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