Lightweight Interfaces to the 'Ziggurat' Pseudo Random Number
Generator
person("Dirk", "Eddelbuettel", role = c("aut", "cre"), email = "edd@debian.org",
                  comment = c(ORCID = "0000-0001-6419-907X"))
The 'Ziggurat' pseudo-random number generator (or PRNG),
 introduced by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>) and
 further improved by Leong et al (2005, <doi:10.18637/jss.v012.i07>), offers
 a lightweight and very fast PRNG for the normal, exponential, and uniform
 distributions. It is provided here in a small zero-dependency package. It can
 be used from R as well as from 'C/C++' code in other packages as is demonstrated
 by four included sample packages using four distinct methods to use the PRNG
 presented here in client package. The implementation is influenced by our
 package 'RcppZiggurat' which offers a comparison among multiple alternative
 implementations but presented here in a lighter-weight implementation that is
 easier to use by other packages. The PRNGs provided are generally faster than
 the ones in base R: on our machine, the relative gains for normal, exponential
 and uniform are on the order of 7.4, 5.2 and 4.7 times faster than base R.
 However, these generators are of potentially lesser quality and shorter period
 so if in doubt use of the base R functions remains the general recommendation.
Dirk Eddelbuettel [aut, cre] (<https://orcid.org/0000-0001-6419-907X>)