speedy-slice: Speedy slice sampling.
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.
Exports a mcmc
function that prints a trace to stdout, as well as 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
Downloads
- speedy-slice-0.1.0.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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Versions [RSS] | 0.1.0.0, 0.1.1, 0.1.2, 0.1.3, 0.1.4, 0.1.5, 0.2.0, 0.3.0, 0.3.1, 0.3.2 |
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Dependencies | base (<5), ghc-prim, lens, mcmc-types (>=1.0.1), mwc-probability (>=1.0.1), pipes, primitive, transformers [details] |
License | MIT |
Author | Jared Tobin |
Maintainer | jared@jtobin.ca |
Category | Math |
Home page | http://github.com/jtobin/speedy-slice |
Source repo | head: git clone http://github.com/jtobin/speedy-slice.git |
Uploaded | by JaredTobin at 2015-10-07T08:03:18Z |
Distributions | LTSHaskell:0.3.2, NixOS:0.3.2, Stackage:0.3.2 |
Reverse Dependencies | 1 direct, 1 indirect [details] |
Downloads | 6308 total (2 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs available [build log] Last success reported on 2015-10-19 [all 1 reports] |