syncrng-package: SyncRNG - Synchronized Random Numbers in R and Python

In SyncRNG: A Synchronized Tausworthe RNG for R and Python

SyncRNG - Synchronized Random Numbers in R and Python

Description

The SyncRNG package provides a random number generator implemented in C and linked to both R and Python. This way, you can generate the same random number sequence in both languages by using the same seed.

The package implements a Tausworthe LSFR RNG (more details at https://gertjanvandenburg.com/blog/syncrng/). This is a very fast pseudo-random number generator.

Usage

There are two ways to use this package in R. It can be used as a reference class, where a SyncRNG object is used to keep the state of the generator and numbers are generated using the object methods. It can also be used as a user-defined random number generator using the strategy outlined in .Random.user. See the examples section below.

Author(s)

Gerrit J.J. van den Burg
Maintainer: Gerrit J.J. van den Burg <[e-mail]>

References

URL: https://github.com/GjjvdBurg/SyncRNG

Examples

library(SyncRNG)

# As user defined RNG:

set.seed(0, 'user', 'user')
runif(2)
# [1] 3.666952e-04 6.257184e-05
set.seed(0, 'user', 'user')
rnorm(2)
# [1] 0.01006027 0.42889422

# As class:

s <- SyncRNG(seed=0)
s$rand()
# [1] 0.0003666952
s$rand()
# [1] 6.257184e-05

SyncRNG documentation built on May 1, 2023, 5:21 p.m.