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diff --git a/new_R/R/syncrng-package.R b/new_R/R/syncrng-package.R
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-#' @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.
-#'
-#' @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}
-#'
-#' @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
-#'
-#' @name syncrng-package
-#' @docType package
-#' @import methods
-NULL
-#>NULL