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:Carl Pearson [aut, cre]

hashprng_0.2.0.1000.tar.gz
hashprng_0.2.0.1000.zip(r-4.7)hashprng_0.2.0.1000.zip(r-4.6)hashprng_0.2.0.1000.zip(r-4.5)
hashprng_0.2.0.1000.tgz(r-4.6-x86_64)hashprng_0.2.0.1000.tgz(r-4.6-arm64)hashprng_0.2.0.1000.tgz(r-4.5-x86_64)hashprng_0.2.0.1000.tgz(r-4.5-arm64)
hashprng_0.2.0.1000.tar.gz(r-4.7-arm64)hashprng_0.2.0.1000.tar.gz(r-4.7-x86_64)hashprng_0.2.0.1000.tar.gz(r-4.6-arm64)hashprng_0.2.0.1000.tar.gz(r-4.6-x86_64)
hashprng_0.2.0.1000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
hashprng/json (API)

# 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

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

stochastic-simulation cpp

3.00 score 2 stars 5 scripts 2 exports 1 dependencies

Last updated from:3c8c2ea5bc (on v0.2.0). Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	131
linux-devel-x86_64	OK	150
source / vignettes	OK	192
linux-release-arm64	OK	134
linux-release-x86_64	OK	158
macos-release-arm64	OK	120
macos-release-x86_64	OK	221
macos-oldrel-arm64	OK	95
macos-oldrel-x86_64	OK	254
windows-devel	OK	115
windows-release	OK	106
windows-oldrel	OK	94
wasm-release	OK	121