The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

PRNG: A Pseudo-Random Number Generator

Provides functions for generating pseudo-random numbers that follow a uniform distribution [0,1]. Randomness tests were conducted using the National Institute of Standards and Technology test suite<https://csrc.nist.gov/pubs/sp/800/22/r1/upd1/final>, along with additional tests. The sequence generated depends on the initial values and parameters. The package includes a linear congruence map as the decision map and three chaotic maps to generate the pseudo-random sequence, which follow a uniform distribution. Other distributions can be generated from the uniform distribution using the Inversion Principle Method and BOX-Muller transformation. Small perturbations in seed values result in entirely different sequences of numbers due to the sensitive nature of the maps being used. The chaotic nature of the maps helps achieve randomness in the generator. Additionally, the generator is capable of producing random bits.

Version: 0.0.2.1.2
Suggests: testthat (≥ 3.0.0), nortest
Published: 2024-09-06
DOI: 10.32614/CRAN.package.PRNG
Author: Sajad Ahmad Mir ORCID iD [aut, cre], Dr. Puneet Sharma ORCID iD [aut]
Maintainer: Sajad Ahmad Mir <maths.acad24 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: PRNG results

Documentation:

Reference manual: PRNG.pdf

Downloads:

Package source: PRNG_0.0.2.1.2.tar.gz
Windows binaries: r-devel: PRNG_0.0.2.1.2.zip, r-release: PRNG_0.0.2.1.2.zip, r-oldrel: PRNG_0.0.2.1.2.zip
macOS binaries: r-release (arm64): PRNG_0.0.2.1.2.tgz, r-oldrel (arm64): PRNG_0.0.2.1.2.tgz, r-release (x86_64): PRNG_0.0.2.1.2.tgz, r-oldrel (x86_64): PRNG_0.0.2.1.2.tgz
Old sources: PRNG archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PRNG to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.