Name:                NestedSampling
Version:             0.1.2
Synopsis:            A port of John Skilling's nested sampling C code to Haskell.

Description:         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.

Homepage:            https://github.com/ijt/haskell_nested_sampling
License:             GPL-2
License-file:        LICENSE
Author:              Issac Trotts
Maintainer:          issac.trotts@gmail.com
Copyright:           (C) Sivia, Skilling 2006, Trotts 2011
Category:            Statistics
Build-type:          Simple
Extra-source-files:  lighthouse.hs README
Cabal-version:       >=1.8

Library
  Exposed-modules:     Statistics.MiniNest
  Build-depends:       base >= 4 && < 5, random
  hs-source-dirs:      lib

Executable lighthouse
  Main-Is: lighthouse.hs
  Build-depends: base >= 4 && < 5, random, vector, NestedSampling