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diff --git a/man/SyncRNG-class.Rd b/man/SyncRNG-class.Rd
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-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/SyncRNG.R
-\docType{class}
-\name{SyncRNG-class}
-\alias{SyncRNG}
-\alias{SyncRNG-class}
-\title{A Reference Class for SyncRNG}
-\description{
-See \link{syncrng-package} for package documentation.
-}
-\section{Fields}{
-
-\describe{
-\item{\code{seed}}{The seed for the random number generator}
-
-\item{\code{state}}{The current state of the RNG, should not be modified by the 
-user}
-}}
-\section{Methods}{
-
-\describe{
-\item{\code{initialize(..., seed = 0)}}{Initialize the RNG using the C function R_syncrng_seed}
-
-\item{\code{rand()}}{Generate a single random float in the range [0, 1)}
-
-\item{\code{randbelow(n)}}{Generate a random integer below a given number}
-
-\item{\code{randi()}}{Generate a single random 32-bit integer}
-
-\item{\code{shuffle(x)}}{Randomly shuffle a provided array of values}
-}}
-\examples{
-s <- SyncRNG(seed=123456)
-for (i in 1:10)
-  cat(s$randi(), '\\n')
-
-}
-
diff --git a/man/syncrng-package.Rd b/man/syncrng-package.Rd
deleted file mode 100644
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-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/syncrng-package.R
-\docType{package}
-\name{syncrng-package}
-\alias{syncrng-package}
-\title{SyncRNG - Synchronized Random Numbers in R and Python}
-\description{
-The SyncRNG package provides a random number generator implemented in C and 
-linked to both R and Python. This way, you can generate the same random 
-number sequence in both languages by using the same seed.
-
-The package implements a Tausworthe LSFR RNG (more details at 
-\url{https://gertjanvandenburg.com/blog/syncrng/}). This is a very fast 
-pseudo-random number generator.
-}
-\section{Usage}{
-
-There are two ways to use this package in R. It can be used as a reference 
-class, where a SyncRNG object is used to keep the state of the generator and 
-numbers are generated using the object methods. It can also be used as a 
-user-defined random number generator using the strategy outlined in 
-.Random.user. See the examples section below.
-}
-\examples{
-library(SyncRNG)
-
-# As user defined RNG:
-
-set.seed(0, 'user', 'user')
-runif(2)
-# [1] 3.666952e-04 6.257184e-05
-set.seed(0, 'user', 'user')
-rnorm(2)
-# [1] 0.01006027 0.42889422
-
-# As class:
-
-s <- SyncRNG(seed=0)
-s$rand()
-# [1] 0.0003666952
-s$rand()
-# [1] 6.257184e-05
-
-}
-\author{
-Gerrit J.J. van den Burg\cr
-Maintainer: Gerrit J.J. van den Burg <gertjanvandenburg@gmail.com>
-}
-\references{
-URL: \url{https://github.com/GjjvdBurg/SyncRNG}
-}
-