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rngSetSeed
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]
[Scholar Profile | Author Map]
First Published: 2012-03-03
Latest Update: 2014-12-03
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 23 Apr. 2025.
Previous versions and publish date:
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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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