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:
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.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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:06f5a783c1. Checks:10 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 91 | ||
| linux-devel-x86_64 | OK | 108 | ||
| source / vignettes | OK | 202 | ||
| linux-release-arm64 | OK | 88 | ||
| linux-release-x86_64 | OK | 106 | ||
| windows-devel-arm64 | OK | 219 | ||
| windows-devel-x86_64 | OK | 135 | ||
| windows-release-arm64 | OK | 203 | ||
| windows-release-x86_64 | OK | 99 | ||
| wasm-release | OK | 95 |
Exports:parallel_RnormRnorm
Dependencies:RcppRcppParallel
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| High-Performance Multithreaded Pseudo-Normal Random Number Generator | parallel_Rnorm |
| Single-threaded Pseudo-Normal Random Number Generator | Rnorm |
