NEWS.md

In krlmlr/wrswoR: Weighted Random Sampling without Replacement

wrswoR 1.1.1.9005 (2023-10-09)

• Internal changes only.

wrswoR 1.1.1.9004 (2023-03-24)

• Internal changes only.

wrswoR 1.1.1.9003 (2023-02-17)

• Internal changes only.

wrswoR 1.1.1.9002 (2022-12-30)

• Internal changes only.

wrswoR 1.1.1.9001 (2022-12-24)

Chore

• Use testthat edition 3.

• Fix CI/CD failures (@IndrajeetPatil, #10, #11).

Uncategorized

• Harmonize yaml formatting.

• Revert changes to matrix section.

• Reduce parallelism.

• Also check dev on cran-* branches.

• Update hash key for dev.

• Remove R 3.3.

• Merge cran-1.1.1.

wrswoR 1.1.1.9000 (2020-07-26)

• Internal changes only.

wrswoR 1.1.1 (2020-07-26)

• In sample_int_expj(), move retrieval of top element into the loop, to make it independent from the actual implementation of the priority queue.

wrswoR 1.1 (2018-02-02)

• Use microbenchmark package conditionally.
• Remove dependency on cluster.
• Use native method registration.
• Prepare for submission to R Journal.
• Improve vignette.
• Internal tweaks.

Version 1.0-1 (2016-02-26)

• Finally submitted version of the paper.

Version 1.0 (2016-02-22)

First CRAN release.

• Alternative implementations for weighted random sampling, as implemented by R's sample.int(replace = FALSE, prob = ...)
  • sample_int_rej(): A rejective algorithm, in R
  • sample_int_rank(): One-pass sampling by Efraimidis and Spirakis, in R
  • sample_int_crank(): One-pass sampling by Efraimidis and Spirakis, in C++
  • sample_int_expj(): Reservoir sampling with exponential jumps Efraimidis and Spirakis, in C++
  • Two more experimental functions.
• Article for submission to JStatSoft as vignette.

krlmlr/wrswoR documentation built on Feb. 4, 2024, 10:20 a.m.