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) <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 <arXiv:2105.08379>.

Package details

AuthorRaphael Jauslin [aut, cre] (<https://orcid.org/0000-0003-1088-3356>), Esther Eustache [aut], Bardia Panahbehagh [aut] (<https://orcid.org/0000-0001-9122-7777>), Yves Tillé [aut] (<https://orcid.org/0000-0003-0904-5523>)
MaintainerRaphael Jauslin <raphael.jauslin@unine.ch>
LicenseGPL (>= 2)
Version0.4.1
URL https://github.com/RJauslin/StratifiedSampling
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("StratifiedSampling")

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StratifiedSampling documentation built on Oct. 26, 2022, 5:09 p.m.