A collection of tools for measuring the similarity of text messages and tracing the flow of messages over
    time and across media.

Provides access to phyloinformatic data in 'NeXML' format.  The
    package should add new functionality to R such as the possibility to
    manipulate 'NeXML' objects in more various and refined way and compatibility
    with 'ape' objects.

Generation of univariate and multivariate data that follow the generalized 
  Poisson distribution. The details of the univariate part are explained in 
  Demirtas (2017) <doi: 10.1080/03610918.2014.968725>, and the multivariate part is 
  an extension of the correlated Poisson data generation routine that was introduced in 
  Yahav and Shmueli (2012) <doi: 10.1002/asmb.901>.

A function setVectorSeed() is provided. Its argument
        is a numeric vector of an arbitrary nonzero length, whose
        components have integer values from [0, 2^32-1]. The input
        vector is transformed using AES (Advanced Encryption Standard)
        algorithm into an initial state of Mersenne-Twister random
        number generator. The function provides a better alternative
        to the R base function set.seed(), if the input vector is
        a single integer. Initializing a stream of random numbers
        with a vector is a convenient way to obtain several streams,
        each of which is identified by several integer indices.

Provides a set of functions for working with
    Random Number Generators (RNGs). In particular, a generic
    S4 framework is defined for getting/setting the current RNG, or RNG data
    that are embedded into objects for reproducibility.
    Notably, convenient default methods greatly facilitate the way current
    RNG settings can be changed.

It is a dedicated package to WELL pseudo random generators, 
  which were introduced in Panneton et al. (2006), ``Improved Long-Period 
  Generators Based on Linear Recurrences Modulo 2'', see <doi:10.1145/1132973.1132974>. 
  But this package is not intended to be used directly, you are strongly __encouraged__ 
  to use the 'randtoolbox' package, which depends on this package.