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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "rngSetSeed" in publications use:'
type: software
license: GPL-3.0-only
title: 'rngSetSeed: Seeding the Default RNG with a Numeric Vector'
version: 0.3-3
doi: 10.32614/CRAN.package.rngSetSeed
abstract: 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.
authors:
- family-names: Savicky
  given-names: Petr
  email: savicky@cs.cas.cz
repository: https://cranhaven.r-universe.dev
commit: 80f9de5f94f4aebc525d4935a567f19d7af89cea
date-released: '2023-09-18'
contact:
- family-names: Savicky
  given-names: Petr
  email: savicky@cs.cas.cz