A collection of implementations of classical and novel algorithms for weighted sampling without replacement.

Maintainer: Kirill Müller <krlmlr+r at mailbox.org>

Author(s): Kirill Müller*

Install package and any missing dependencies by running this line in your R console:

install.packages("wrswoR")

Depends R (>= 3.0.2)
Imports Rcpp, logging(>=0.4-13)
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)
Enhances
Linking to Rcpp(>=0.11.5)
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Package wrswoR
Materials
URL http://krlmlr.github.io/wrswoR
Task Views
Version 1.0-1
Published 2016-03-03
License GPL-3
BugReports https://github.com/krlmlr/wrswoR/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks wrswoR check results
Package source wrswoR_1.0-1.tar.gz