Package Info


Random number generation


Random number generation based on modeling random variables in two complementary ways: first, by the parameters of standard mathematical distributions and, second, by an abstract type ('RVar') which can be composed and manipulated monadically and sampled in either monadic or "pure" styles.

The primary purpose of this library is to support defining and sampling a wide variety of high quality random variables. Quality is prioritized over speed, but performance is an important goal too.

In my testing, I have found it capable of speed comparable to other Haskell libraries, but still a fair bit slower than straight C implementations of the same algorithms.

License: SUSE-Public-Domain



Package Version Update ID Released Package Hub Version Platforms Subpackages info GA Release 2018-07-30 15
  • AArch64
  • ppc64le
  • x86-64
  • ghc-random-fu
  • ghc-random-fu-devel