# monad-bayes: A library for probabilistic programming.

A library for probabilistic programming using probability monads. The emphasis is on composition of inference algorithms implemented in terms of monad transformers. Please refer to the documentation for a quick-start user guide and a reference overview of how it all works" and the included README.

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## Modules

[Index] [Quick Jump]

*Control**Monad*

*Math**Integrators*

## Flags

### Manual Flags

Name | Description | Default |
---|---|---|

dev | Turn on development settings. | Disabled |

Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info

## Downloads

- monad-bayes-1.1.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)

#### Maintainer's Corner

For package maintainers and hackage trustees

Candidates

Versions [RSS] | 0.1.0.0, 0.1.1.0, 1.0.0, 1.1.0 |
---|---|

Change log | CHANGELOG.md |

Dependencies | base (>=4.11 && <4.17), brick (>=1.0 && <2.0), containers (>=0.5.10 && <0.7), foldl, free (>=5.0.2 && <5.2), histogram-fill, ieee754 (>=0.8.0 && <0.9), integration, lens, linear, log-domain (>=0.12 && <0.14), math-functions (>=0.2.1 && <0.4), matrix, monad-bayes, monad-coroutine (>=0.9.0 && <0.10), monad-extras, mtl (>=2.2.2 && <2.3), mwc-random (>=0.13.6 && <0.16), optparse-applicative, pipes, pretty-simple, primitive, random, safe (>=0.3.17 && <0.4), scientific, statistics (>=0.14.0 && <0.17), text, time, vector (>=0.12.0 && <0.13), vty [details] |

License | MIT |

Copyright | 2015-2020 Adam Scibior |

Author | Adam Scibior <adscib@gmail.com> |

Maintainer | dominic.steinitz@tweag.io |

Category | Statistics |

Home page | http://github.com/tweag/monad-bayes#readme |

Bug tracker | https://github.com/tweag/monad-bayes/issues |

Source repo | head: git clone https://github.com/tweag/monad-bayes.git |

Uploaded | by DominicSteinitz at 2022-11-06T13:40:51Z |

Distributions | NixOS:1.1.0 |

Reverse Dependencies | 1 direct, 0 indirect [details] |

Executables | example |

Downloads | 936 total (25 in the last 30 days) |

Rating | (no votes yet) [estimated by Bayesian average] |

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Status | Docs available [build log] Last success reported on 2022-11-06 [all 1 reports] |