name: speedy-slice version: 0.3.0 synopsis: Speedy slice sampling. homepage: http://github.com/jtobin/speedy-slice license: MIT license-file: LICENSE author: Jared Tobin maintainer: jared@jtobin.ca category: Math build-type: Simple cabal-version: >=1.10 description: Speedy slice sampling. . This implementation of the slice sampling algorithm uses 'lens' as a means to operate over generic indexed traversable functors, so you can expect it to work if your target function takes a list, vector, map, sequence, etc. as its argument. . Additionally you can sample over anything that's an instance of both 'Num' and 'Variate', which is useful in the case of discrete parameters. . Exports a 'mcmc' function that prints a trace to stdout, a 'chain' function for collecting results in memory, and a 'slice' transition operator that can be used more generally. . > import Numeric.MCMC.Slice > import Data.Sequence (Seq, index, fromList) > > bnn :: Seq Double -> Double > bnn xs = -0.5 * (x0 ^ 2 * x1 ^ 2 + x0 ^ 2 + x1 ^ 2 - 8 * x0 - 8 * x1) where > x0 = index xs 0 > x1 = index xs 1 > > main :: IO () > main = withSystemRandom . asGenIO $ mcmc 10000 1 (fromList [0, 0]) bnn Source-repository head Type: git Location: http://github.com/jtobin/speedy-slice.git library default-language: Haskell2010 exposed-modules: Numeric.MCMC.Slice build-depends: base >= 4 && < 6 , kan-extensions >= 5 && < 6 , lens >= 4 && < 5 , primitive >= 0.6 && < 1.0 , mcmc-types >= 1.0.1 , mwc-probability >= 1.0.1 , pipes >= 4 && < 5 , transformers >= 0.5 && < 1.0 Test-suite rosenbrock type: exitcode-stdio-1.0 hs-source-dirs: test main-is: Rosenbrock.hs default-language: Haskell2010 ghc-options: -rtsopts build-depends: base >= 4 && < 6 , mwc-probability >= 1.0.1 , speedy-slice Test-suite bnn type: exitcode-stdio-1.0 hs-source-dirs: test main-is: BNN.hs default-language: Haskell2010 ghc-options: -rtsopts build-depends: base >= 4 && < 6 , containers >= 0.5 && < 0.6 , mwc-probability >= 1.0.1 , speedy-slice