Description: Generate random strings of a dictated size of symbol set and

Author: Frederico Caeiro and Ayana Mateus
Description: Several non parametric randomness tests for numeric sequences

Description: Provides several non parametric randomness tests for numeric sequences.
Packaged: 2022-06-19 21:03:59 UTC; Frederico
Author: Frederico Caeiro [aut, cre] (<https://orcid.org/0000-0001-8628-7281>),

Title: toolbox for pseudo and quasi random number generation.
Author: Christophe Dutang (for the code except the SFMT algorithm from M. Matsumoto and M. Saito), Thibault Marchal (for the pdf document)
Description: The package provides (1) pseudo random generators - general linear congruential generators such as Park Miller sequence and SF-Mersenne Twister algorithm; (2) a quasi random generator - the Torus algorithm (for Van Der Corput low-discrepancy sequences, use the 'Rmetrics - fOptions' package) and (3) some additional tests such as the gap test, the serial test... (other test can be found in the 'RDieHarder' package). For true random number generation, use the 'random' package.
Packaged: Thu May 22 18:33:48 2008; christophedutang

Title: toolbox for pseudo and quasi random number generation and RNG tests.
Author: Christophe Dutang (for the code except the SFMT algorithm from M. Matsumoto and M. Saito)
Description: The package provides (1) pseudo random generators - general linear congruential generators such as Park Miller sequence and SF-Mersenne Twister algorithm; (2) a quasi random generator - the Torus algorithm (for other low-discrepancy sequences, use the 'Rmetrics - fOptions' package) and (3) some additional tests such as the gap test, the serial test... For true random number generation, use the 'random' package.
Packaged: Sun Jul 27 19:03:23 2008; christophedutang

Author: Christophe Dutang (except SFMT algorithm from M. Matsumoto, M. Saito and WELL generator from P. L'Ecuyer and Knuth-TAOCP RNG from D. Knuth)
Description: The package provides (1) pseudo random generators - general linear congruential generators (Park Miller), generalized feedback shift register (SF-Mersenne Twister algorithm and WELL generator); (2) a quasi random generator - the Torus algorithm (for other low-discrepancy sequences, use the 'Rmetrics - fOptions' package) and (3) some additional tests such as the gap test, the serial test, the poker test... For true random number generation, use the 'random' package and for Latin Hypercube Sampling (a hybrid qmc method), use the 'lhs' package.
Packaged: Fri Aug 29 22:01:37 2008; christophedutang