From 201e19975461c6fb04d4487346e2a0b68d2359dc Mon Sep 17 00:00:00 2001 From: Gertjan van den Burg Date: Thu, 14 Jan 2021 17:30:12 +0000 Subject: Rename directories, remove extra test dir --- new_R/R/syncrng-package.R | 50 ----------------------------------------------- 1 file changed, 50 deletions(-) delete mode 100644 new_R/R/syncrng-package.R (limited to 'new_R/R/syncrng-package.R') diff --git a/new_R/R/syncrng-package.R b/new_R/R/syncrng-package.R deleted file mode 100644 index 949401d..0000000 --- a/new_R/R/syncrng-package.R +++ /dev/null @@ -1,50 +0,0 @@ -#' @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 -#' -#' @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 -- cgit v1.2.3