packages feed

differential-0.2.0.1: differential.cabal

name:                differential
version:             0.2.0.1
synopsis:            Finds out whether an entity comes from different distributions (statuses).
description:         Uses statistical tests to find whether an entity comes from one or two distributions.
homepage:            http://github.com/GregorySchwartz/differential#readme
license:             GPL-3
license-file:        LICENSE
author:              Gregory W. Schwartz
maintainer:          gsch@pennmedicine.upenn.edu
copyright:           Copyright: (c) 2019 Gregory W. Schwartz
category:            Bioinformatics
build-type:          Simple
-- extra-source-files:
cabal-version:       >=1.10

library
  hs-source-dirs:      src
  exposed-modules:     Types
                     , Load
                     , Differential
                     , Plot
                     , Utility
  build-depends:       base >= 4.7 && < 5
                     , aeson
                     , bytestring
                     , containers
                     , deepseq
                     , foldl
                     , inline-r
                     , lens
                     , lens-aeson
                     , scientific
                     , sparse-linear-algebra
                     , statistics
                     , text
                     , text-show
                     , vector
  ghc-options:         -O2
  default-language:    Haskell2010

executable differential
  hs-source-dirs:      app
  main-is:             Main.hs
  ghc-options:         -threaded -rtsopts -O2
  build-depends:       base
                     , differential
                     , bytestring
                     , cassava
                     , containers
                     , inline-r
                     , optparse-generic
                     , text
                     , text-show
                     , vector
  default-language:    Haskell2010

source-repository head
  type:     git
  location: https://github.com/GregorySchwartz/differential