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 |
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 |
Reference manual: | StratifiedSampling.pdf |
Package source: | StratifiedSampling_0.1.0.tar.gz |
Windows binaries: | r-devel: 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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