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A robust solution employing the SRS (Simple Random Sampling), systematic and PPS (Probability Proportional to Size) sampling methods, ensuring a methodical and representative selection of data. Seamlessly allocate predetermined allocations to smaller levels.
| Version: | 1.1.1 |
| Depends: | R (≥ 2.10) |
| Imports: | base, data.table, dplyr, magrittr, rlang, sampling, stats, utils |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-09-28 |
| DOI: | 10.32614/CRAN.package.samplingin |
| Author: | Choerul Afifanto [aut, cre, cph] |
| Maintainer: | Choerul Afifanto <choerulafifanto at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | samplingin results |
| Reference manual: | samplingin.pdf |
| Vignettes: |
Introduction to samplingin (source, R code) |
| Package source: | samplingin_1.1.1.tar.gz |
| Windows binaries: | r-devel: samplingin_1.1.1.zip, r-release: samplingin_1.1.1.zip, r-oldrel: samplingin_1.1.1.zip |
| macOS binaries: | r-release (arm64): samplingin_1.1.1.tgz, r-oldrel (arm64): samplingin_1.1.1.tgz, r-release (x86_64): samplingin_1.1.1.tgz, r-oldrel (x86_64): samplingin_1.1.1.tgz |
| Old sources: | samplingin archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.