The R Journal: article published in 2016, volume 8:1

CryptRndTest: An R Package for Testing the Cryptographic Randomness
Haydar Demirhan and Nihan Bitirim , The R Journal (2016) 8:1, pages 233-247.

Abstract In this article, we introduce the R package CryptRndTest that performs eight statistical randomness tests on cryptographic random number sequences. The purpose of the package is to provide software implementing recently proposed cryptographic randomness tests utilizing goodness of-fit tests superior to the usual chi-square test in terms of statistical performance. Most of the tests included in package CryptRndTest are not available in other software packages such as the R package RDieHarder or the C library TestU01. Chi-square, Anderson-Darling, Kolmogorov-Smirnov, and Jarque-Bera goodness-of-fit procedures are provided along with cryptographic randomness tests. CryptRndTest utilizes multiple precision floating numbers for sequences longer than 64-bit based on the package Rmpfr. By this way, included tests are applied precisely for higher bit-lengths. In addition CryptRndTest provides a user friendly interface to these cryptographic randomness tests. As an illustrative application, CryptRndTest is used to test available random number generators in R.

Received: 2015-09-10; online 2016-04-03
CRAN packages: RDieHarder, randtests, DescTools, CryptRndTest, Rmpfr, kSamples, tseries, copula, gmp
CRAN Task Views implied by cited CRAN packages: Distributions, Finance, NumericalMathematics, Econometrics, Environmetrics, ExtremeValue, Multivariate, TimeSeries

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2016-016,
  author = {Haydar Demirhan and Nihan Bitirim},
  title = {{CryptRndTest: An R Package for Testing the Cryptographic
          Randomness}},
  year = {2016},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2016-016},
  url = {https://doi.org/10.32614/RJ-2016-016},
  pages = {233--247},
  volume = {8},
  number = {1}
}