StratifiedSampling: Different Methods for Stratified Sampling

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 ORCID iD [aut, cre], Esther Eustache [aut], Bardia Panahbehagh [aut], Yves Tillé ORCID iD [aut]
Maintainer: Raphael Jauslin <raphael.jauslin at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: StratifiedSampling results


Reference manual: StratifiedSampling.pdf
Vignettes: Statistical Matching using Optimal Transport


Package source: StratifiedSampling_0.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): StratifiedSampling_0.3.0.tgz, r-oldrel (arm64): StratifiedSampling_0.3.0.tgz, r-release (x86_64): StratifiedSampling_0.3.0.tgz, r-oldrel (x86_64): StratifiedSampling_0.3.0.tgz
Old sources: StratifiedSampling archive


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