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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 an 'faster but good enough' alternative for use with R and C++ code.

Version: 0.1.6
Depends: R (≥ 3.0.0)
Imports: Rcpp, parallel, graphics, stats, utils
LinkingTo: Rcpp, RcppGSL
Suggests: rbenchmark, microbenchmark, lattice, knitr, rmarkdown, pinp
Published: 2020-10-20
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd at debian.org>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README NEWS ChangeLog
CRAN checks: RcppZiggurat results

Documentation:

Reference manual: RcppZiggurat.pdf
Vignettes: RcppZiggurat-Intro

Downloads:

Package source: RcppZiggurat_0.1.6.tar.gz
Windows binaries: r-devel: RcppZiggurat_0.1.6.zip, r-release: RcppZiggurat_0.1.6.zip, r-oldrel: RcppZiggurat_0.1.6.zip
macOS binaries: r-release (arm64): RcppZiggurat_0.1.6.tgz, r-oldrel (arm64): RcppZiggurat_0.1.6.tgz, r-release (x86_64): RcppZiggurat_0.1.6.tgz, r-oldrel (x86_64): RcppZiggurat_0.1.6.tgz
Old sources: RcppZiggurat archive

Reverse dependencies:

Reverse depends: Rfast
Reverse imports: dyads
Reverse linking to: fido
Reverse suggests: benchmarkme, SuppDists

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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