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wrswoR

Lifecycle: stable R build status Codecov test coverage CRAN status

The goal of wrswoR is to provide faster implementations of weighted random sampling without replacement in R.

Installation

You can install the released version of wrswoR from CRAN with:

install.packages("wrswoR")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("krlmlr/wrswoR")

Example

The functions in this package are a drop-in replacement to sample.int(n, size, replace = FALSE, prob = prob). With large n, sample.int() becomes too slow to be practical, unlike the functions in this package.

library(wrswoR)
set.seed(20200726)

sample_int_crank(20, 10, 1:20)
#>  [1]  8 18 14 17 11 15 10  4 13  5

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.