Add pcg-random

Author: ocramz

_posts/2016-10-19-current-environment.md

@@ -100,6 +100,7 @@ Currently maintained within the scope of the [DataHaskell `dh-core` project](htt
   - **mwc-probability**  [![Hackage](https://img.shields.io/hackage/v/mwc-probability.svg)](https://hackage.haskell.org/package/mwc-probability)  [![mwc-probability](http://stackage.org/package/mwc-probability/badge/nightly)](http://stackage.org/nightly/package/mwc-probability) : A simple probability distribution type, where distributions are characterized by sampling functions. Simple and idiomatic interface based on Applicative and Monad instances.
   - **random-fu**  [![Hackage](https://img.shields.io/hackage/v/random-fu.svg)](https://hackage.haskell.org/package/random-fu)  [![random-fu](http://stackage.org/package/random-fu/badge/nightly)](http://stackage.org/nightly/package/random-fu) : 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. Very flexible, providing both a concrete ('Distribution') and and abstract but composable ('RVar') view of random variables.
+  - **pcg-random** [](http://github.com/cchalmers/pcg-random){:.github} [![Hackage](https://img.shields.io/hackage/v/pcg-random.svg)](https://hackage.haskell.org/package/pcg-random)  [![pcg-random](http://stackage.org/package/pcg-random/badge/nightly)](http://stackage.org/nightly/package/pcg-random) : Haskell bindings to the PCG random number generator http://www.pcg-random.org. The api is very similar to `mwc-random` but the pcg generator appears to be slightly faster. There is also a pure interface via the `random` libray.
 
 
 ## Statistics