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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

VersionRepositoryFileSize
1.2.0 rolling linux/jammy R-4.5 wrswoR_1.2.0.tar.gz 64.6 KiB
1.2.0 rolling linux/noble R-4.5 wrswoR_1.2.0.tar.gz 65.8 KiB
1.2.0 rolling source/ R- wrswoR_1.2.0.tar.gz 15.0 KiB
1.2.0 latest linux/jammy R-4.5 wrswoR_1.2.0.tar.gz 64.6 KiB
1.2.0 latest linux/noble R-4.5 wrswoR_1.2.0.tar.gz 65.8 KiB
1.2.0 latest source/ R- wrswoR_1.2.0.tar.gz 15.0 KiB
1.2.0 2026-04-26 source/ R- wrswoR_1.2.0.tar.gz 15.0 KiB
1.2.0 2026-04-23 source/ R- wrswoR_1.2.0.tar.gz 15.0 KiB
1.2.0 2026-04-09 windows/windows R-4.5 wrswoR_1.2.0.zip 388.5 KiB
1.1.1 2025-04-20 source/ R- wrswoR_1.1.1.tar.gz 12.7 KiB

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