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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>
+}