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) . The package propose also a method based on optimal transport and balanced sampling, see Raphaël Jauslin and Yves Tillé .


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install.packages("StratifiedSampling")

0.2.0 by Raphael Jauslin, 4 months ago


https://github.com/RJauslin/StratifiedSampling


Report a bug at https://github.com/RJauslin/StratifiedSampling/issues


Browse source code at https://github.com/cran/StratifiedSampling


Authors: Raphael Jauslin [aut, cre] , Esther Eustache [aut] , Yves Tillé [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, transport, proxy, MASS, sampling

Depends on Matrix

Suggests knitr, rmarkdown, ggplot2, BalancedSampling, stats, testthat, StatMatch, laeken, prettydoc

Linking to RcppArmadillo, Rcpp


See at CRAN