A collection of implementations of classical and novel algorithms for weighted sampling without replacement.
Version: | 1.0-1 |
Depends: | R (≥ 3.0.2) |
Imports: | Rcpp, logging (≥ 0.4-13) |
LinkingTo: | Rcpp (≥ 0.11.5) |
Suggests: | wrswoR.benchmark (≥ 0.1), import, kimisc (≥ 0.2-4), testthat, roxygen2, knitr, rmarkdown, rticles (≥ 0.1), knitcitations, metap, tidyr, microbenchmark, sampling, BatchExperiments, dplyr, ggplot2, tikzDevice (≥ 0.9-1) |
Published: | 2016-03-03 |
Author: | Kirill Müller [aut, cre] |
Maintainer: | Kirill Müller <krlmlr+r at mailbox.org> |
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 |
Reference manual: | wrswoR.pdf |
Vignettes: |
Accelerating weighted random sampling without replacement |
Package source: | wrswoR_1.0-1.tar.gz |
Windows binaries: | r-devel: wrswoR_1.0-1.zip, r-release: wrswoR_1.0-1.zip, r-oldrel: wrswoR_1.0-1.zip |
OS X Mavericks binaries: | r-release: wrswoR_1.0-1.tgz, r-oldrel: wrswoR_1.0-1.tgz |
Old sources: | wrswoR archive |
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