wrswoR: Weighted Random Sampling without Replacement
A collection of implementations of classical and novel algorithms for weighted sampling without replacement. Implementations include the algorithm of Efraimidis and Spirakis (2006) <doi:10.1016/j.ipl.2005.11.003> and Wong and Easton (1980) <doi:10.1137/0209009>.
| Version: | 1.2.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | logging (≥ 0.4-13),Rcpp |
| LinkingTo: | Rcpp (≥ 0.11.5) |
| Suggests: | BatchExperiments,BiocManager,dplyr,ggplot2,import,kimisc (≥ 0.2-4),knitcitations,knitr,metap,microbenchmark,rmarkdown,roxygen2,rticles (≥ 0.1),sampling,testthat (≥3.0.0),tidyr,tikzDevice (≥ 0.9-1) |
| Published: | 2025-11-10 |
| DOI: | 10.32614/CRAN.package.wrswoR |
| Author: | Kirill Müller [aut, cre] |
| Maintainer: | Kirill Müller <kirill at cynkra.com> |
| BugReports: | https://github.com/krlmlr/wrswoR/issues |
| License: | GPL-3 |
| URL: | http://krlmlr.github.io/wrswoR/ |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | wrswoR results |
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