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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/syncrng-package.R
\docType{package}
\name{syncrng-package}
\alias{syncrng-package}
\title{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
\url{https://gertjanvandenburg.com/blog/syncrng/}). This is a very fast
pseudo-random number generator.
}
\section{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.
}
\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
}
\references{
URL: \url{https://github.com/GjjvdBurg/SyncRNG}
}
\author{
Gerrit J.J. van den Burg\cr
Maintainer: Gerrit J.J. van den Burg <gertjanvandenburg@gmail.com>
}
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