# The NestedSampling package

Nested Sampling is a numerical algorithm for approximate Bayesian inference. It generates samples from the posterior distribution but its main purpose is to estimate the evidence P(M|D) of the model conditioned on the observed data. More information on Nested Sampling is available at http://en.wikipedia.org/wiki/Nested_sampling_algorithm.

The original code can be found at http://www.inference.phy.cam.ac.uk/bayesys/sivia/ along with documentation at http://www.inference.phy.cam.ac.uk/bayesys/. An example program called lighthouse.hs is included.

So far, only the simple demonstration file called mininest.c has been ported. There is a more sophisticated C library available at http://www.inference.phy.cam.ac.uk/bayesys/nest/nest.tar.gz but it has not been ported to Haskell yet.

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## Properties

Versions | 0.1.1, 0.1.2, 0.1.3, 0.1.4 |
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Dependencies | base (==4.*), random, vector [details] |

License | GPL-2 |

Copyright | (C) Sivia, Skilling 2006, Trotts 2011 |

Author | Issac Trotts |

Maintainer | issac.trotts@gmail.com |

Category | Statistics |

Home page | https://github.com/ijt/haskell_nested_sampling |

Source repository | head: git clone git://github.com/ijt/haskell_nested_sampling.git |

Uploaded | Wed Sep 21 08:30:02 UTC 2011 by IssacTrotts |

Distributions | NixOS:0.1.4 |

Downloads | 1134 total (13 in the last 30 days) |

Votes | |

Status | Docs uploaded by user Build status unknown [no reports yet] |

## Downloads

- NestedSampling-0.1.3.tar.gz [browse] (Cabal source package)
- Package description (included in the package)