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) <arXiv:2101.05568>. The package propose also a method based on optimal transport and balanced sampling, see Raphaël Jauslin and Yves Tillé <arXiv:2105.08379>.
Version: |
0.3.0 |
Depends: |
Matrix, R (≥ 3.5.0) |
Imports: |
Rcpp, transport, proxy, MASS, sampling |
LinkingTo: |
RcppArmadillo, Rcpp |
Suggests: |
knitr, rmarkdown, ggplot2, BalancedSampling, stats, testthat, StatMatch, laeken, prettydoc |
Published: |
2021-09-24 |
Author: |
Raphael Jauslin
[aut, cre],
Esther Eustache [aut],
Bardia Panahbehagh [aut],
Yves Tillé [aut] |
Maintainer: |
Raphael Jauslin <raphael.jauslin at unine.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 |