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wrswoR  

Weighted Random Sampling without Replacement
View on CRAN: Click here


Download and install wrswoR package within the R console
Install from CRAN:
install.packages("wrswoR")

Install from Github:
library("remotes")
install_github("cran/wrswoR")

Install by package version:
library("remotes")
install_version("wrswoR", "1.1.1")



Attach the package and use:
library("wrswoR")
Maintained by
Kirill Müller
[Scholar Profile | Author Map]
First Published: 2016-02-22
Latest Update: 2020-07-26
Description:
A collection of implementations of classical and novel algorithms for weighted sampling without replacement.
How to cite:
Kirill Müller (2016). wrswoR: Weighted Random Sampling without Replacement. R package version 1.1.1, https://cran.r-project.org/web/packages/wrswoR. Accessed 05 Apr. 2025.
Previous versions and publish date:
1.0-1 (2016-03-03 05:50), 1.0 (2016-02-22 20:47), 1.1 (2018-02-02 19:26)
Other packages that cited wrswoR R package
View wrswoR citation profile
Other R packages that wrswoR depends, imports, suggests or enhances
Complete documentation for wrswoR
Functions, R codes and Examples using the wrswoR R package
Some associated functions: sample_int . wrswoR-package . 
Some associated R codes: RcppExports.R . sample_int_R.R . sample_int_ccrank.R . sample_int_crank.R . sample_int_expj.R . sample_int_expjs.R . sample_int_rank.R . sample_int_rej.R . wrswoR-package.R .  Full wrswoR package functions and examples
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