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NestedSampling-hs.cabal
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name: NestedSampling-hs
version: 0.5.1
synopsis: Classic Nested Sampling.
license: MIT
license-file: LICENSE
author: Brendon J. Brewer
maintainer: [email protected]
category: Math
build-type: Simple
cabal-version: >= 1.18
description:
This is a Haskell implementation of the classic Nested Sampling algorithm
introduced by John Skilling. You can use it for Bayesian inference,
statistical mechanics, and optimisation applications.
library
hs-source-dirs: lib
default-language: Haskell2010
ghc-options:
-Wall -O2
exposed-modules:
NestedSampling.Logging
, NestedSampling.Model
, NestedSampling.Sampler
, NestedSampling.Utils
build-depends:
base >= 4.8 && < 5
, formatting >= 6.2 && < 7
, mwc-random >= 0.13 && < 1
, primitive >= 0.6 && < 1
, psqueues >= 0.2 && < 1
, text >= 1.2 && < 2
, transformers >= 0.5 && < 1
, vector >= 0.11 && < 1
Test-suite spikeslab
type: exitcode-stdio-1.0
hs-source-dirs: test
Main-is: SpikeSlab.hs
default-language: Haskell2010
ghc-options:
-O2 -Wall
other-modules:
Models.SpikeSlab
build-depends:
base >= 4.8 && < 5
, NestedSampling-hs
, mwc-random >= 0.13 && < 1
, primitive >= 0.6 && < 1
, vector >= 0.11 && < 1
Test-suite ising
type: exitcode-stdio-1.0
hs-source-dirs: test
Main-is: Ising.hs
default-language: Haskell2010
ghc-options:
-O2 -Wall
other-modules:
Models.Ising
build-depends:
base >= 4.8 && < 5
, NestedSampling-hs
, mwc-random >= 0.13 && < 1
, primitive >= 0.6 && < 1
, vector >= 0.11 && < 1
Test-suite rosenbrock
type: exitcode-stdio-1.0
hs-source-dirs: test
Main-is: Rosenbrock.hs
default-language: Haskell2010
ghc-options:
-O2 -Wall
other-modules:
Models.Rosenbrock
build-depends:
base >= 4.8 && < 5
, NestedSampling-hs
, mwc-random >= 0.13 && < 1
, primitive >= 0.6 && < 1
, vector >= 0.11 && < 1
Test-suite mini-spikeslab
type: exitcode-stdio-1.0
hs-source-dirs: test
Main-is: Mini.hs
default-language: Haskell2010
ghc-options:
-O2 -fprof-auto -rtsopts
other-modules:
Models.SpikeSlab
build-depends:
base >= 4.8 && < 5
, NestedSampling-hs
, mwc-random >= 0.13 && < 1
, primitive >= 0.6 && < 1
, vector >= 0.11 && < 1