Integrating a stratified structure in the population in a sampling design can considerably reduce the variance of the Horvitz-Thompson estimator. We propose in this package different methods to handle the selection of a balanced sample in stratified population. For more details see Raphaël Jauslin, Esther Eustache and Yves Tillé (2021) <doi:10.1007/s42081-021-00134-y>. The package propose also a method based on optimal transport and balanced sampling, see Raphaël Jauslin and Yves Tillé <doi:10.1016/j.jspi.2022.12.003>.
| Version: |
0.4.2 |
| Depends: |
Matrix, R (≥ 3.5.0) |
| Imports: |
Rcpp, transport, proxy, MASS, sampling, Rglpk |
| LinkingTo: |
RcppArmadillo, Rcpp |
| Suggests: |
knitr, rmarkdown, BalancedSampling, stats, testthat, StatMatch, laeken, prettydoc, ggplot2, viridis, geojsonio, sf, rmapshaper |
| Published: |
2025-01-31 |
| DOI: |
10.32614/CRAN.package.StratifiedSampling |
| Author: |
Raphael Jauslin 
[aut, cre],
Esther Eustache [aut],
Bardia Panahbehagh
[aut],
Yves Tillé [aut] |
| Maintainer: |
Raphael Jauslin <raphael.jauslin at bfs.admin.ch> |
| BugReports: |
https://github.com/RJauslin/StratifiedSampling/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/RJauslin/StratifiedSampling |
| NeedsCompilation: |
yes |
| Materials: |
README NEWS |
| CRAN checks: |
StratifiedSampling results |