wrswoR v1.1
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Weighted Random Sampling without Replacement
A collection of implementations of classical and novel
algorithms for weighted sampling without replacement.
Readme
wrswoR
A package with different implementations of weighted random sampling without replacement in R.
library(devtools)
install_github("krlmlr/wrswoR")
Functions in wrswoR
| Name | Description | |
| sample_int_R | Weighted sampling without replacement | |
| wrswoR-package | Faster weighted sampling without replacement | |
| No Results! | ||
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Details
| Type | Package |
| Date | 2018-02-02 |
| License | GPL-3 |
| URL | http://krlmlr.github.io/wrswoR |
| BugReports | https://github.com/krlmlr/wrswoR/issues |
| LinkingTo | Rcpp (>= 0.11.5) |
| Encoding | UTF-8 |
| LazyData | true |
| RoxygenNote | 6.0.1.9000 |
| URLNote | https://github.com/krlmlr/wrswoR |
| NeedsCompilation | yes |
| Packaged | 2018-02-02 07:58:28 UTC; muelleki |
| Repository | CRAN |
| Date/Publication | 2018-02-02 18:26:36 UTC |
| suggests | BatchExperiments , dplyr , ggplot2 , import , kimisc (>= 0.2-4) , knitcitations , knitr , metap , microbenchmark , rmarkdown , roxygen2 , rticles (>= 0.1) , sampling , testthat , tidyr , tikzDevice (>= 0.9-1) |
| imports | logging (>= 0.4-13) , Rcpp |
| depends | R (>= 3.0.2) |
| Contributors |
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