# The mwc-probability package

A simple probability distribution type, where distributions are characterized by sampling functions.

This implementation is a thin layer over `mwc-random`, which handles RNG
state-passing automatically by using a `PrimMonad` like `IO` or `ST s` under
the hood.

*Examples*

Transform a distribution's support while leaving its density structure invariant:

-- uniform over [0, 1] to uniform over [1, 2] succ <$> uniform

Sequence distributions together using bind:

-- a beta-binomial conjugate distribution beta 1 10 >>= binomial 10

Use do-notation to build complex joint distributions from composable, local conditionals:

hierarchicalModel = do [c, d, e, f] <- replicateM 4 $ uniformR (1, 10) a <- gamma c d b <- gamma e f p <- beta a b n <- uniformR (5, 10) binomial n p

## Properties

Versions | 1.0.0, 1.0.1, 1.0.2, 1.0.3, 1.1.3, 1.2.0, 1.2.1, 1.2.2, 1.3.0 |
---|---|

Dependencies | base (>4 && <6), mwc-random (>0.13 && <0.14), primitive (>=0.6 && <1.0), transformers (>=0.5 && <1.0) [details] |

License | MIT |

Author | Jared Tobin |

Maintainer | jared@jtobin.ca |

Stability | Unknown |

Category | Math |

Home page | http://github.com/jtobin/mwc-probability |

Source repository | head: git clone http://github.com/jtobin/mwc-probability.git |

Uploaded | Sun Dec 4 09:19:39 UTC 2016 by JaredTobin |

Distributions | LTSHaskell:1.2.2, NixOS:1.3.0, Stackage:1.3.0, Tumbleweed:1.3.0 |

Downloads | 504 total (13 in the last 30 days) |

Votes | |

Status | Docs available [build log] Last success reported on 2016-12-08 [all 1 reports] |

## Downloads

- mwc-probability-1.3.0.tar.gz [browse] (Cabal source package)
- Package description (included in the package)