Package: NormGen 0.0.6

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.

Authors:Piotr Sulewski [aut, cre]

NormGen_0.0.6.tar.gz
NormGen_0.0.6.zip(r-4.7-x86_64)NormGen_0.0.6.zip(r-4.7-arm64)NormGen_0.0.6.zip(r-4.6-x86_64)NormGen_0.0.6.zip(r-4.6-arm64)NormGen_0.0.6.zip(r-4.5-x86_64)
NormGen_0.0.6.tgz(r-4.6-x86_64)NormGen_0.0.6.tgz(r-4.6-arm64)NormGen_0.0.6.tgz(r-4.5-x86_64)NormGen_0.0.6.tgz(r-4.5-arm64)
NormGen_0.0.6.tar.gz(r-4.7-arm64)NormGen_0.0.6.tar.gz(r-4.7-x86_64)NormGen_0.0.6.tar.gz(r-4.6-arm64)NormGen_0.0.6.tar.gz(r-4.6-x86_64)
NormGen_0.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
NormGen/json (API)

# Install 'NormGen' in R:

install.packages('NormGen', repos = c('https://piotrsule.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/piotrsule/normgen/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

3.70 score 2 exports 2 dependencies

Last updated from:ba292fbe9e. Checks:13 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	111
linux-devel-x86_64	NOTE	142
source / vignettes	OK	170
linux-release-arm64	NOTE	105
linux-release-x86_64	NOTE	116
macos-release-arm64	NOTE	149
macos-release-x86_64	NOTE	348
macos-oldrel-arm64	NOTE	167
macos-oldrel-x86_64	NOTE	298
windows-devel-arm64	NOTE	339
windows-devel-x86_64	NOTE	174
windows-release-arm64	NOTE	369
windows-release-x86_64	NOTE	142
windows-oldrel-x86_64	NOTE	152
wasm-release	OK	112