Different Methods for Stratified Sampling
c(
person("Raphael", "Jauslin", email = "raphael.jauslin@unine.ch",role = c("aut", "cre"),comment = c(ORCID = "0000-0003-1088-3356")),
person("Esther", "Eustache", email = "esther.eustache@unine.ch",role = c("aut")),
person("Yves", "Tillé",role = c("aut"),comment = c(ORCID = "0000-0003-0904-5523"))
)
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>.
knitr, rmarkdown, ggplot2, sampling, BalancedSampling, MASS,
stats, testthat
Raphael Jauslin [aut, cre] (<https://orcid.org/0000-0003-1088-3356>),
Esther Eustache [aut],
Yves Tillé [aut] (<https://orcid.org/0000-0003-0904-5523>)

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>.
knitr, rmarkdown, ggplot2, BalancedSampling, stats, testthat,
StatMatch, laeken, prettydoc

c(
person("Raphael", "Jauslin", email = "raphael.jauslin@unine.ch",role = c("aut", "cre"),comment = c(ORCID = "0000-0003-1088-3356")),
person("Esther", "Eustache", email = "esther.eustache@unine.ch",role = c("aut")),
person("Bardia", "Panahbehagh", email = "bardia.panahbehagh@unine.ch",role = c("aut")),
person("Yves", "Tillé",role = c("aut"),comment = c(ORCID = "0000-0003-0904-5523"))
)
Raphael Jauslin [aut, cre] (<https://orcid.org/0000-0003-1088-3356>),
Esther Eustache [aut],
Bardia Panahbehagh [aut],
Yves Tillé [aut] (<https://orcid.org/0000-0003-0904-5523>)