Rcpp bindings for different Ziggurat RNG implementations
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
R
demo
inst
man
src
tests
vignettes
.Rbuildignore
.gitignore
.travis.yml
ChangeLog
DESCRIPTION
LICENSE
NAMESPACE
README.md
cleanup
rcppziggurat.Rproj

README.md

RcppZiggurat Build Status License CRAN Downloads

Rcpp Bindings for Ziggurat RNGs

Overview

The RcppZiggurat package regroups a number of implementations of the 'Ziggurat' random number generator by Marsaglia and Tsang (JSS, 2000), both in the original version and via the update by Leong, Zhang, Lee, Luk and Villasenor (JSS, 2005).

The purpose of the package is to both study and time these implementations in order to provide a fast N(0,1) generator for use by R. The generators included in R are excellent and very diligently implemented, but not generally the fastest. This package aims to close the performance gap.

You should know what you are doing when deploying this package. If in doubt, stick with the default generators.

Vignette

The package contains a detailed vignette summarizing the methods, the implementation as well as the statistical properties (examined via three different tests) and the generator speed.

Status

The package currently contains six different implementations. Two are standard from the literature: the original Marsaglia and Tsang approach (which should not be used as the resulting generator has be improved as suggested by Leong et al.), the improved Leong et al variant, a version from the GNU GSL, a version from the GNU Gretl econometric program as well as a version from QuantLib.

Demo

The package contains several demo scripts. Try

R> demo(package="RcppZiggurat")

TODO

More testing never hurts, ...

More generators as e.g. the modified Ziggurat implementation suggested by Doornik (though his code is not under an open source licence)

Author

Dirk Eddelbuettel

License

GPL (>= 2)