summaryrefslogtreecommitdiff log msg author committer range
blob: a672c15cb3139f3dcb1f0405aa530b04c2ccc89d (plain)
 ```1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 ``` ``````name: mwc-probability version: 2.3.1 homepage: http://github.com/jtobin/mwc-probability license: MIT license-file: LICENSE author: Jared Tobin, Marco Zocca maintainer: jared@jtobin.ca, zocca.marco gmail category: Math build-type: Simple cabal-version: >= 1.10 tested-with: GHC == 8.0.2, GHC == 8.2.2 , GHC == 8.4.2, GHC == 8.6.5, GHC == 8.8.3 synopsis: Sampling function-based probability distributions. description: A simple probability distribution type, where distributions are characterized by sampling functions. . This implementation is a thin layer over @mwc-random@, which handles RNG state-passing automatically by using a @PrimMonad@ like @IO@ or @ST s@ under the hood. . /Examples/ . Transform a distribution's support while leaving its density structure invariant: . > -- uniform over [0, 1] to uniform over [1, 2] > fmap succ uniform . Sequence distributions together using bind: . > -- a beta-binomial compound distribution > beta 1 10 >>= binomial 10 . Use do-notation to build complex joint distributions from composable, local conditionals: . > hierarchicalModel = do > [c, d, e, f] <- replicateM 4 \$ uniformR (1, 10) > a <- gamma c d > b <- gamma e f > p <- beta a b > n <- uniformR (5, 10) > binomial n p extra-source-files: README.md CHANGELOG Source-repository head Type: git Location: http://github.com/jtobin/mwc-probability.git library exposed-modules: System.Random.MWC.Probability default-language: Haskell2010 hs-source-dirs: src build-depends: base >= 4.8 && < 6 , containers >= 0.6 , mwc-random > 0.13 && < 0.16 , primitive >= 0.6 && < 1.0 , transformers >= 0.5 && < 1.0 ``````