wrswoR: Weighted Random Sampling without Replacement (original) (raw)

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
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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