rngSetSeed: Seeding the Default RNG with a Numeric Vector

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.

Version: 0.3-2
Published: 2014-12-03
Author: Petr Savicky
Maintainer: Petr Savicky <savicky at cs.cas.cz>
License: GPL-3
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: rngSetSeed results

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Reference manual: rngSetSeed.pdf
Package source: rngSetSeed_0.3-2.tar.gz
Windows binaries: r-devel: rngSetSeed_0.3-2.zip, r-release: rngSetSeed_0.3-2.zip, r-oldrel: rngSetSeed_0.3-2.zip
OS X El Capitan binaries: r-release: rngSetSeed_0.3-2.tgz
OS X Mavericks binaries: r-oldrel: rngSetSeed_0.3-2.tgz
Old sources: rngSetSeed archive

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