Package: hashprng 0.2.0.1000
Carl Pearson
hashprng: Hash-Based Matching Pseudo-Random Number Generation
Provides helper functions for use of hash-based matching (HBM) for pseudo-random number generation (PRNG) in stochastic simulations. HBM-PRNG is an approach to simplify matching synthetic experiment samples, which ensures that matched runs different only in the focal parameters, not in their chance events.
Authors:
hashprng_0.2.0.1000.tar.gz
hashprng_0.2.0.1000.zip(r-4.5)hashprng_0.2.0.1000.zip(r-4.4)hashprng_0.2.0.1000.zip(r-4.3)
hashprng_0.2.0.1000.tgz(r-4.4-x86_64)hashprng_0.2.0.1000.tgz(r-4.4-arm64)hashprng_0.2.0.1000.tgz(r-4.3-x86_64)hashprng_0.2.0.1000.tgz(r-4.3-arm64)
hashprng_0.2.0.1000.tar.gz(r-4.5-noble)hashprng_0.2.0.1000.tar.gz(r-4.4-noble)
hashprng_0.2.0.1000.tgz(r-4.4-emscripten)hashprng_0.2.0.1000.tgz(r-4.3-emscripten)
hashprng.pdf |hashprng.html✨
hashprng/json (API)
NEWS
| # Install 'hashprng' in R: |
| install.packages('hashprng', repos = c('https://epinowcast.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/epinowcast/hashprng/issues
Last updated 1 years agofrom:3c8c2ea5bc (on v0.2.0). Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win-x86_64 | OK | Nov 08 2024 |
| R-4.5-linux-x86_64 | OK | Nov 08 2024 |
| R-4.4-win-x86_64 | OK | Nov 08 2024 |
| R-4.4-mac-x86_64 | OK | Nov 08 2024 |
| R-4.4-mac-aarch64 | OK | Nov 08 2024 |
| R-4.3-win-x86_64 | OK | Nov 08 2024 |
| R-4.3-mac-x86_64 | OK | Nov 08 2024 |
| R-4.3-mac-aarch64 | OK | Nov 08 2024 |
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Hash-Based Matching Pseudo-Random Number Generation | hash_salt hash_seed |
| hashprng: Hash-Based Matching Pseudo-Random Number Generation | hashprng |
