{"@context":"https://w3id.org/codemeta/3.0","@type":"SoftwareSourceCode","identifier":"pkg:hackage/NestedSampling","name":"NestedSampling","description":"Nested Sampling is a numerical algorithm for approximate Bayesian\ninference. It generates samples from the posterior\ndistribution but its main purpose is to estimate the\nevidence P(M|D) of the model conditioned on the observed\ndata. More information on Nested Sampling is available\nat http://en.wikipedia.org/wiki/Nested_sampling_algorithm.\n\nThe original code can be found at\nhttp://www.inference.phy.cam.ac.uk/bayesys/sivia/\nalong with documentation at\nhttp://www.inference.phy.cam.ac.uk/bayesys/.\nAn example program called lighthouse.hs is included.\n\nSo far, only the simple demonstration file called mininest.c\nhas been ported. There is a more sophisticated C library\navailable at\nhttp://www.inference.phy.cam.ac.uk/bayesys/nest/nest.tar.gz\nbut it has not been ported to Haskell yet.","version":"0.1.4","softwareVersion":"0.1.4","license":"https://spdx.org/licenses/GPL-2.0-only","codeRepository":"https://github.com/ijt/haskell_nested_sampling","url":"https://github.com/ijt/haskell_nested_sampling","keywords":["gpl","library","statistics","Propose Tags"],"maintainer":[{"@type":"Person","name":"IssacTrotts"}],"author":[{"@type":"Person","name":"IssacTrotts"}],"copyrightHolder":[{"@type":"Person","name":"IssacTrotts"}],"dateCreated":"2011-09-19","dateModified":"2011-09-22","datePublished":"2011-09-22","copyrightYear":2011,"downloadUrl":"https://hackage.haskell.org/package/NestedSampling-0.1.4/NestedSampling-0.1.4.tar.gz","applicationCategory":"hackage","runtimePlatform":"hackage","sameAs":["https://hackage.haskell.org/package/NestedSampling"]}