Package: StratifiedSampling 0.4.2
Raphael Jauslin
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>.
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StratifiedSampling.pdf |StratifiedSampling.html✨
StratifiedSampling/json (API)
NEWS
# Install 'StratifiedSampling' in R: |
install.packages('StratifiedSampling', repos = c('https://rjauslin.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rjauslin/stratifiedsampling/issues
Last updated 18 hours agofrom:605ff9bb49. Checks:10 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 01 2025 |
R-4.5-win-x86_64 | OK | Feb 01 2025 |
R-4.5-mac-x86_64 | OK | Feb 01 2025 |
R-4.5-mac-aarch64 | OK | Feb 01 2025 |
R-4.5-linux-x86_64 | OK | Feb 01 2025 |
R-4.4-win-x86_64 | OK | Feb 01 2025 |
R-4.4-mac-x86_64 | OK | Feb 01 2025 |
R-4.4-mac-aarch64 | OK | Feb 01 2025 |
R-4.3-win-x86_64 | OK | Feb 01 2025 |
R-4.3-mac-x86_64 | OK | Feb 01 2025 |
Exports:balseqbalstratbsmatchc_boundc_bound2calibRakingcpsdisjdisjMatrixdistUnitkfbsffphasefindBgencalibRakingharmonizeinclproblandingRMmaxentpi2ncatosodotmatchpikfromqpiktfrompikqfromwsfromqstratifiedcubesys_devillesys_devillepi2vAppvarAppvarEstvDBSvEst
Dependencies:data.tablelatticelpSolveMASSMatrixproxyRcppRcppArmadilloRcppEigenRglpksamplingslamtransport