name: foldl-statistics version: 0.1.5.0 synopsis: Statistical functions from the statistics package implemented as Folds. description: The use of this package allows statistics to be computed using at most two passes over the input data, one to compute a mean and one to compute a further statistic such as variance and /n/th central moments. All algorithms are the obvious implementation of Bryan O\'Sullivan\'s package imeplemented as `Fold's from the package. homepage: http://github.com/Data61/foldl-statistics#readme license: BSD3 license-file: LICENSE author: Alex Mason maintainer: Alex.Mason@data61.csiro.au copyright: 2016 Data61 (CSIRO) category: Math, Statistics build-type: Simple extra-source-files: CHANGELOG.md, README.md cabal-version: >=1.10 tested-with: GHC == 7.8.4, GHC == 7.10.2, GHC == 8.0.2, GHC == 8.2.2, GHC == 8.4.* library hs-source-dirs: src exposed-modules: Control.Foldl.Statistics default-language: Haskell2010 build-depends: base >= 4.7 && < 5 , foldl >= 1.1 && < 1.4 , math-functions >= 0.1 && < 0.3 , profunctors >= 5.2 && < 5.3 , containers >= 0.1.0.0 && < 0.6 , unordered-containers >= 0.1.0.0 && < 0.3 , hashable >=1.0.1.1 && < 1.3 if impl(ghc < 8.0) build-depends: semigroups >= 0.18 && < 1.0 test-suite foldl-statistics-test type: exitcode-stdio-1.0 hs-source-dirs: test main-is: Spec.hs ghc-options: -threaded -rtsopts -with-rtsopts=-N default-language: Haskell2010 build-depends: base , foldl-statistics , foldl , statistics >= 0.13 && < 0.15 , tasty >= 0.11 && < 0.12 , tasty-quickcheck >= 0.8 && < 0.10 , vector >= 0.11 && < 0.13 , quickcheck-instances >= 0.3 && < 0.4 , profunctors if impl(ghc < 8.0) build-depends: semigroups Benchmark bench-folds type: exitcode-stdio-1.0 hs-source-dirs: bench main-is: Main.hs default-language: Haskell2010 build-depends: base , foldl-statistics , foldl , statistics >= 0.13 && < 0.15 , criterion >= 1.1 && < 1.3 , vector >= 0.10 && < 1.0 , mwc-random >= 0.13 && < 0.14 if impl(ghc < 8.0) build-depends: semigroups source-repository head type: git location: https://github.com/Data61/foldl-statistics