Package: rngSetSeed 0.3-3
Petr Savicky
rngSetSeed: Seeding the Default RNG with a Numeric Vector
A function setVectorSeed() is provided. Its argument is a numeric vector of an arbitrary nonzero length, whose components have integer values from [0, 2^32-1]. The input vector is transformed using AES (Advanced Encryption Standard) algorithm into an initial state of Mersenne-Twister random number generator. The function provides a better alternative to the R base function set.seed(), if the input vector is a single integer. Initializing a stream of random numbers with a vector is a convenient way to obtain several streams, each of which is identified by several integer indices.
Authors:
rngSetSeed_0.3-3.tar.gz
rngSetSeed_0.3-3.tar.gz(r-4.5-noble)rngSetSeed_0.3-3.tar.gz(r-4.4-noble)
rngSetSeed_0.3-3.tgz(r-4.4-emscripten)rngSetSeed_0.3-3.tgz(r-4.3-emscripten)
rngSetSeed.pdf |rngSetSeed.html✨
rngSetSeed/json (API)
| # Install 'rngSetSeed' in R: |
| install.packages('rngSetSeed', 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 1 years agofrom:b66762f7e6. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 17 2024 |
| R-4.5-linux-x86_64 | OK | Sep 17 2024 |
Exports:generateInitializationsetVectorSeed
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Seeding the Default RNG with a Numeric Vector | rngSetSeed-package rngSetSeed |
| Generates a random integer vector of a specified length using AES | generateInitialization |
| Initialization of Mersenne-Twister RNG with a numeric vector of an arbitrary nonzero length | setVectorSeed |