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>.
Authors:
StratifiedSampling_0.4.2.tar.gz
StratifiedSampling_0.4.2.tar.gz(r-4.5-noble)StratifiedSampling_0.4.2.tar.gz(r-4.4-noble)
StratifiedSampling_0.4.2.tgz(r-4.4-emscripten)StratifiedSampling_0.4.2.tgz(r-4.3-emscripten)
StratifiedSampling.pdf |StratifiedSampling.html✨
StratifiedSampling/json (API)
NEWS
| # Install 'StratifiedSampling' in R: |
| install.packages('StratifiedSampling', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rjauslin/stratifiedsampling/issues
Last updated 4 hours agofrom:5247c1cad6. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 31 2025 |
| R-4.5-linux-x86_64 | OK | Jan 31 2025 |
Exports:balseqbalstratbsmatchc_boundc_bound2calibRakingcpsdisjdisjMatrixdistUnitkfbsffphasefindBgencalibRakingharmonizeinclproblandingRMmaxentpi2ncatosodotmatchpikfromqpiktfrompikqfromwsfromqstratifiedcubesys_devillesys_devillepi2vAppvarAppvarEstvDBSvEst
Dependencies:data.tablelatticelpSolveMASSMatrixproxyRcppRcppArmadilloRcppEigenRglpksamplingslamtransport
