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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>.

Versions across snapshots

VersionRepositoryFileSize
0.4.2 rolling linux/jammy R-4.5 StratifiedSampling_0.4.2.tar.gz 351.3 KiB
0.4.2 rolling linux/noble R-4.5 StratifiedSampling_0.4.2.tar.gz 361.9 KiB
0.4.2 rolling source/ R- StratifiedSampling_0.4.2.tar.gz 113.1 KiB
0.4.2 latest linux/jammy R-4.5 StratifiedSampling_0.4.2.tar.gz 351.3 KiB
0.4.2 latest linux/noble R-4.5 StratifiedSampling_0.4.2.tar.gz 361.9 KiB
0.4.2 latest source/ R- StratifiedSampling_0.4.2.tar.gz 113.1 KiB
0.4.2 2026-04-26 source/ R- StratifiedSampling_0.4.2.tar.gz 113.1 KiB
0.4.2 2026-04-23 source/ R- StratifiedSampling_0.4.2.tar.gz 113.1 KiB
0.4.2 2026-04-09 windows/windows R-4.5 StratifiedSampling_0.4.2.zip 761.8 KiB
0.4.2 2025-04-20 source/ R- StratifiedSampling_0.4.2.tar.gz 113.1 KiB

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