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rngSetSeed  

Seeding the Default RNG with a Numeric Vector
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rngSetSeed", "0.3-3")



Attach the package and use:
library("rngSetSeed")
Maintained by
Petr Savicky
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-03-03
Latest Update:
Description:
A function setVectorSeed() is provided. Its argument is a numeric vector of an arbitrary nonzero length, whose components have integer values from [0, 2^32-1]. The input vector is transformed using AES (Advanced Encryption Standard) algorithm into an initial state of Mersenne-Twister random number generator. The function provides a better alternative to the R base function set.seed(), if the input vector is a single integer. Initializing a stream of random numbers with a vector is a convenient way to obtain several streams, each of which is identified by several integer indices.
How to cite:
Petr Savicky (2012). rngSetSeed: Seeding the Default RNG with a Numeric Vector. R package version 0.3-3, https://cran.r-project.org/web/packages/rngSetSeed. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1-2 (2012-03-03 21:09), 0.2-3 (2012-03-08 15:22), 0.3-1 (2014-12-01 11:07), 0.3-2 (2014-12-03 10:28), 0.3-3 (2023-09-19 10:50)
Other packages that cited rngSetSeed R package
View rngSetSeed citation profile
Other R packages that rngSetSeed depends, imports, suggests or enhances
Complete documentation for rngSetSeed
Functions, R codes and Examples using the rngSetSeed R package
Some associated functions: generateInitialization . rngSetSeed-package . setVectorSeed . 
Some associated R codes: functions.R . init.R .  Full rngSetSeed package functions and examples
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