Cabal revisions of mwc-probability-1.2.2
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-name: mwc-probability-version: 1.2.2-homepage: http://github.com/jtobin/mwc-probability-license: MIT-license-file: LICENSE-author: Jared Tobin-maintainer: jared@jtobin.ca-category: Math-build-type: Simple-cabal-version: >= 1.10-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]- > succ <$> uniform- .- Sequence distributions together using bind:- .- > -- a beta-binomial conjugate 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--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 && < 6- , mwc-random > 0.13 && < 0.14- , primitive- , transformers-+name: mwc-probability +version: 1.2.2 +x-revision: 1 +homepage: http://github.com/jtobin/mwc-probability +license: MIT +license-file: LICENSE +author: Jared Tobin +maintainer: jared@jtobin.ca +category: Math +build-type: Simple +cabal-version: >= 1.10 +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] + > succ <$> uniform + . + Sequence distributions together using bind: + . + > -- a beta-binomial conjugate 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 + +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 && < 5 + , mwc-random > 0.13 && < 0.14 + , primitive + , transformers +