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

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NEWS

# Install 'StratifiedSampling' in R:
install.packages('StratifiedSampling', repos = c('https://rjauslin.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rjauslin/stratifiedsampling/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

openblascpp

3.70 score 112 downloads 33 exports 13 dependencies

Last updated 18 hours agofrom:605ff9bb49. Checks:10 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 01 2025
R-4.5-win-x86_64OKFeb 01 2025
R-4.5-mac-x86_64OKFeb 01 2025
R-4.5-mac-aarch64OKFeb 01 2025
R-4.5-linux-x86_64OKFeb 01 2025
R-4.4-win-x86_64OKFeb 01 2025
R-4.4-mac-x86_64OKFeb 01 2025
R-4.4-mac-aarch64OKFeb 01 2025
R-4.3-win-x86_64OKFeb 01 2025
R-4.3-mac-x86_64OKFeb 01 2025

Exports:balseqbalstratbsmatchc_boundc_bound2calibRakingcpsdisjdisjMatrixdistUnitkfbsffphasefindBgencalibRakingharmonizeinclproblandingRMmaxentpi2ncatosodotmatchpikfromqpiktfrompikqfromwsfromqstratifiedcubesys_devillesys_devillepi2vAppvarAppvarEstvDBSvEst

Dependencies:data.tablelatticelpSolveMASSMatrixproxyRcppRcppArmadilloRcppEigenRglpksamplingslamtransport

Statistical Matching using Optimal Transport

Rendered fromot_matching.Rmdusingknitr::rmarkdownon Feb 01 2025.

Last update: 2025-01-31
Started: 2021-05-17