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NormGen: An Efficient and Precise Quantile Mapping for Normal Pseudo-Random Number Generation

High-performance pseudo-normal random generator using an optimized quantile mapping algorithm. It provides fast generation of normal pseudo-random numbers based on precise mathematical approximations. The package features Rnorm() for efficient single-threaded generation and parallel_Rnorm(), a high-performance, multithreaded variant powered by 'RcppParallel' and Intel 'TBB'. Package compilation flags are optimized to support multi-core parallel processing.

Version: 0.0.6
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.0), RcppParallel
LinkingTo: Rcpp, RcppParallel
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-10-22
DOI: 10.32614/CRAN.package.NormGen
Author: Piotr Sulewski [aut, cre]
Maintainer: Piotr Sulewski <piotr.sulewski at upsl.edu.pl>
License: GPL-3
NeedsCompilation: yes
Language: en-US
Materials: README, NEWS
CRAN checks: NormGen results

Documentation:

Reference manual: NormGen.html , NormGen.pdf
Vignettes: Introduction to NormGen (source, R code)

Downloads:

Package source: NormGen_0.0.6.tar.gz
Windows binaries: r-devel: NormGen_0.0.6.zip, r-release: NormGen_0.0.6.zip, r-oldrel: NormGen_0.0.6.zip
macOS binaries: r-release (arm64): NormGen_0.0.6.tgz, r-oldrel (arm64): NormGen_0.0.6.tgz, r-release (x86_64): NormGen_0.0.6.tgz, r-oldrel (x86_64): NormGen_0.0.6.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NormGen to link to this page.

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.