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dqrng  

Fast Pseudo Random Number Generators
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dqrng", "0.4.1")



Attach the package and use:
library("dqrng")
Maintained by
Ralf Stubner
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-11
Latest Update: 2024-05-28
Description:
Several fast random number generators are provided as C++ header only libraries: The PCG family by O'Neill (2014 ) as well as Xoroshiro128+ and Xoshiro256+ by Blackman and Vigna (2018 ). In addition fast functions for generating random numbers according to a uniform, normal and exponential distribution are included. The latter two use the Ziggurat algorithm originally proposed by Marsaglia and Tsang (2000, ). The fast sampling methods support unweighted sampling both with and without replacement. These functions are exported to R and as a C++ interface and are enabled for use with the default 64 bit generator from the PCG family, Xoroshiro128+ and Xoshiro256+ as well as the 64 bit version of the 20 rounds Threefry engine (Salmon et al., 2011, ) as provided by the package 'sitmo'.
How to cite:
Ralf Stubner (2018). dqrng: Fast Pseudo Random Number Generators. R package version 0.4.1, https://cran.r-project.org/web/packages/dqrng. Accessed 09 Mar. 2026.
Previous versions and publish date:
0.0.2 (2018-05-11 10:51), 0.0.3 (2018-05-14 13:13), 0.0.4 (2018-06-08 20:51), 0.0.5 (2019-01-31 23:23), 0.1.0 (2019-03-04 15:10), 0.1.1 (2019-03-11 16:42), 0.2.0 (2019-04-22 18:11), 0.2.1 (2019-05-17 17:40), 0.3.0 (2021-05-01 12:30), 0.3.1 (2023-08-30 21:40), 0.3.2 (2023-11-29 22:20), 0.4.0 (2024-05-15 15:00)
Other packages that cited dqrng R package
View dqrng citation profile
Other R packages that dqrng depends, imports, suggests or enhances
Complete documentation for dqrng
Functions, R codes and Examples using the dqrng R package
Some associated functions: dqrmv . dqrng-functions . dqrng-package . dqsample . generateSeedVectors . 
Some associated R codes: RcppExports.R . dqrmv.R . dqrng-package.R . dqsample.R . dqset.seed.R . zzz.R .  Full dqrng package functions and examples
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