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 (may not be active yet)
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: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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