homepage: https://github.com/fpco/kalman
changelog-type: ''
hash: fae047440459d496248b3a2a3d944f925586d56f4225bfa98a17e2d718c0438d
test-bench-deps:
  Chart: -any
  Chart-cairo: -any
  Chart-diagrams: -any
  base: -any
  kalman: -any
  random-fu-multivariate: -any
  random-fu: -any
  hmatrix: -any
maintainer: dominic@steinitz.org
synopsis: Kalman and particle filters and smoothers
changelog: ''
basic-deps:
  base: ! '>=4.7 && <5'
  random-fu-multivariate: -any
  random-fu: -any
  hmatrix: -any
  vector: -any
all-versions:
- '1.0.0.0'
author: Dominic Steinitz, Jacob West
latest: '1.0.0.0'
description-type: markdown
description: ! '# Kalman filters and smoothers in Haskell


  The haddock contains links to references on the theory of Kalman and

  particle filtering and also contains a worked example of how to use

  the library.

'
license-name: MIT

homepage: https://github.com/idontgetoutmuch/Kalman
changelog-type: ''
hash: 39db478e542483b848468fbae8e78c732608a2771877941ec6f7a3dbc72bfd3f
test-bench-deps:
  Chart: -any
  Chart-cairo: -any
  Chart-diagrams: -any
  base: -any
  kalman: -any
  random-fu-multivariate: -any
  random-fu: -any
  hmatrix: -any
maintainer: dominic@steinitz.org
synopsis: Kalman and particle filters and smoothers
changelog: ''
basic-deps:
  base: ! '>=4.7 && <5'
  random-fu-multivariate: -any
  random-fu: -any
  hmatrix: -any
  vector: -any
all-versions:
- '1.0.0.0'
- '1.0.0.1'
author: Dominic Steinitz, Jacob West
latest: '1.0.0.1'
description-type: markdown
description: ! '# Kalman filters and smoothers in Haskell


  The haddock contains links to references on the theory of Kalman and

  particle filtering and also contains a worked example of how to use

  the library.

'
license-name: MIT

Update from Hackage at 2016-12-14T09:47:09Z
Update from Hackage at 2016-12-14T09:47:09Z
