RJauslin/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 <doi:10.1016/j.jspi.2022.12.003>.

Getting started

Package details

Maintainer
LicenseGPL (>=2)
Version0.4.2
URL https://github.com/RJauslin/StratifiedSampling
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("RJauslin/StratifiedSampling")
RJauslin/StratifiedSampling documentation built on Feb. 5, 2025, 4:18 a.m.