wrswoR: Weighted Random Sampling without Replacement

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 El Capitan binaries: r-release: wrswoR_1.0-1.tgz
OS X Mavericks binaries: r-oldrel: wrswoR_1.0-1.tgz
Old sources: wrswoR archive

Reverse dependencies:

Reverse imports: rakeR


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