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) <arXiv:2101.05568>.

Version: 0.1.0
Depends: Matrix, R (≥ 3.5.0)
Imports: Rcpp
LinkingTo: RcppArmadillo, Rcpp
Suggests: knitr, rmarkdown, ggplot2, sampling, BalancedSampling, MASS, stats, testthat
Published: 2021-01-26
Author: Raphael Jauslin ORCID iD [aut, cre], Esther Eustache [aut], Yves Tillé ORCID iD [aut]
Maintainer: Raphael Jauslin <raphael.jauslin at unine.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: StratifiedSampling results

Downloads:

Reference manual: StratifiedSampling.pdf
Package source: StratifiedSampling_0.1.0.tar.gz
Windows binaries: r-devel: StratifiedSampling_0.1.0.zip, r-devel-UCRT: StratifiedSampling_0.1.0.zip, r-release: StratifiedSampling_0.1.0.zip, r-oldrel: StratifiedSampling_0.1.0.zip
macOS binaries: r-release: StratifiedSampling_0.1.0.tgz, r-oldrel: StratifiedSampling_0.1.0.tgz

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