Name: NestedSampling
Version: 0.1.4
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: examples/lighthouse.hs README
Cabal-version: >=1.6
source-repository head
type: git
location: git://github.com/ijt/haskell_nested_sampling.git
Library
Exposed-modules: Statistics.MiniNest
Build-depends: base >= 4 && < 5, random, vector
hs-source-dirs: lib