Package: PRNG 0.0.2.1.3

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.

Authors:Sajad Ahmad Mir [aut, cre], Dr. Puneet Sharma [aut]

PRNG_0.0.2.1.3.tar.gz
PRNG_0.0.2.1.3.zip(r-4.5)PRNG_0.0.2.1.3.zip(r-4.4)PRNG_0.0.2.1.3.zip(r-4.3)
PRNG_0.0.2.1.3.tgz(r-4.4-any)PRNG_0.0.2.1.3.tgz(r-4.3-any)
PRNG_0.0.2.1.3.tar.gz(r-4.5-noble)PRNG_0.0.2.1.3.tar.gz(r-4.4-noble)
PRNG_0.0.2.1.3.tgz(r-4.4-emscripten)PRNG_0.0.2.1.3.tgz(r-4.3-emscripten)
PRNG.pdf |PRNG.html
PRNG/json (API)

# Install 'PRNG' in R:
install.packages('PRNG', repos = c('https://meer-1.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/meer-1/prng/issues

On CRAN:

10 exports 0.95 score 0 dependencies 5 scripts 419 downloads

Last updated 9 days agofrom:dfa1e6421b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winOKSep 09 2024
R-4.5-linuxOKSep 09 2024
R-4.4-winOKSep 09 2024
R-4.4-macOKSep 09 2024
R-4.3-winOKSep 09 2024
R-4.3-macOKSep 09 2024

Exports:baker_maplinear_conlogistic_mapprbitsprcauchyprexpprnormprunfsaw_toothstime

Dependencies: