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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.0 |
2026-04-09 windows/windows R-4.5 | wrswoR_1.2.0.zip |
388.5 KiB |
Dependencies (latest)
Imports
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)