Seeding the Default RNG With a Numeric Vector
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.

Seeding the Default RNG with a Numeric Vector
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.

toolbox for WELL random number generators.
C code by F. Panneton, P. L'Ecuyer and M. Matsumoto and R port
by Christophe Dutang and Petr Savicky <savicky@cs.cas.cz>.
It is a dedicated package to WELL pseudo random
generators. But it is not intended to use it directly, you are
strongly __encouraged__ to directly use the 'randtoolbox'
package, which depends on this package.

all C code by F. Panneton, P. L'Ecuyer and M. Matsumoto and R
port by Christophe Dutang and Petr Savicky <savicky@cs.cas.cz>.
See LICENCE file for details.
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'', ACM Transactions on Mathematical Software. But this
package is not intended to be used directly, you are strongly
__encouraged__ to use the 'randtoolbox' package, which depends
on this package.