Package: StratifiedSampling 0.4.2
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-4.7-arm64)StratifiedSampling_0.4.2.tar.gz(r-4.7-x86_64)StratifiedSampling_0.4.2.tar.gz(r-4.6-arm64)StratifiedSampling_0.4.2.tar.gz(r-4.6-x86_64)
StratifiedSampling_0.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:5247c1cad6. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 225 | ||
| linux-devel-x86_64 | OK | 210 | ||
| source / vignettes | OK | 282 | ||
| linux-release-arm64 | OK | 198 | ||
| linux-release-x86_64 | OK | 207 | ||
| wasm-release | OK | 192 |
Exports:balseqbalstratbsmatchc_boundc_bound2calibRakingcpsdisjdisjMatrixdistUnitkfbsffphasefindBgencalibRakingharmonizeinclproblandingRMmaxentpi2ncatosodotmatchpikfromqpiktfrompikqfromwsfromqstratifiedcubesys_devillesys_devillepi2vAppvarAppvarEstvDBSvEst
Dependencies:data.tablelatticelpSolveMASSMatrixproxyRcppRcppArmadilloRcppEigenRglpksamplingslamtransport
