name: estimator version: 1.2.0.0 synopsis: State-space estimation algorithms such as Kalman Filters description: The goal of this library is to simplify implementation and use of state-space estimation algorithms, such as Kalman Filters. The interface for constructing models is isolated as much as possible from the specifics of a given algorithm, so swapping out a Kalman Filter for a Bayesian Particle Filter should involve a minimum of effort. . This implementation is designed to support symbolic types, such as from or . As a result you can generate code in another language, such as C, from a model written using this package; or run static analyses on your model. . Also included is a sophisticated sensor fusion example in "Numeric.Estimator.Model.SensorFusion", which may be useful in its own right. license: BSD3 license-file: LICENSE author: Jamey Sharp maintainer: smaccm@galois.com copyright: 2014-2016 Galois, Inc. homepage: https://github.com/GaloisInc/estimator bug-reports: https://github.com/GaloisInc/estimator/issues category: Math, Numerical, Statistics build-type: Simple cabal-version: >=1.10 tested-with: GHC == 7.6.3, GHC == 7.8.4, GHC == 7.10.2, GHC == 8.0.1 source-repository this type: git location: https://github.com/GaloisInc/estimator tag: 1.2.0.0 library hs-source-dirs: src exposed-modules: Numeric.Estimator, Numeric.Estimator.Augment, Numeric.Estimator.Class, Numeric.Estimator.KalmanFilter, Numeric.Estimator.Model.Coordinate, Numeric.Estimator.Model.Pressure, Numeric.Estimator.Model.SensorFusion, Numeric.Estimator.Model.Symbolic other-modules: Numeric.Estimator.Matrix, Numeric.Estimator.Quaternion build-depends: base >=4.6 && <5, ad >=4.2, distributive >=0.4, lens >=4.6, linear >=1.16, reflection >=1.5 default-language: Haskell2010 ghc-options: -Wall