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eddelbuettel
random:True Random Numbers using RANDOM.ORG
The true random number service provided by the RANDOM.ORG website created by Mads Haahr samples atmospheric noise via radio tuned to an unused broadcasting frequency together with a skew correction algorithm due to John von Neumann. More background is available in the included vignette based on an essay by Mads Haahr. In its current form, the package offers functions to retrieve random integers, randomized sequences and random strings.
Maintained by Dirk Eddelbuettel. Last updated 2 months ago.
9 stars 9.35 score 1.4k scripts 2 dependentseddelbuettel
RcppZiggurat:'Rcpp' Integration of Different "Ziggurat" Normal RNG Implementations
The Ziggurat generator for normally distributed random numbers, originally proposed by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>) has been improved upon a few times starting with Leong et al (2005, <doi:10.18637/jss.v012.i07>). This package provides an aggregation in order to compare different implementations in order to provide a 'faster but good enough' alternative for use with R and C++ code. See the 'zigg' package for a lighter implementation for much easier use in other packages.
Maintained by Dirk Eddelbuettel. Last updated 2 days ago.
random-number-generatorsrcppzigguratgslcpp
12 stars 8.54 score 73 scripts 3 dependents
scumdogsteev
mlsjunkgen:Use the MLS Junk Generator Algorithm to Generate a Stream of Pseudo-Random Numbers
Generate a stream of pseudo-random numbers generated using the MLS Junk Generator algorithm. Functions exist to generate single pseudo-random numbers as well as a vector, data frame, or matrix of pseudo-random numbers.
Maintained by Steve Myles. Last updated 4 years ago.
mls-junk-generatormlsjunkgenrandom-generationrandom-numberrandom-number-generatorrandom-number-generatorsrandom-quote-machinerngrpackages
3.95 score 18 scripts