The estimator package
This is a package candidate release! Here you can preview how this package release will appear once published to the main package index (which can be accomplished via the 'maintain' link below). Please note that once a package has been published to the main package index it cannot be undone! Please consult the package uploading documentation for more information.
- 'ghc-options: -Werror' makes the package easy to break with future GHC versions because new GHC versions often add new warnings.
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 sbv or ivory. 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.
|Versions||1.0.0, 1.0.0, 126.96.36.199, 188.8.131.52, 184.108.40.206, 220.127.116.11|
|Change log||None available|
|Dependencies||ad (>=4.2), base (>=4.6 && <5), distributive (>=0.4), lens (>=4.6), linear (>=1.15), reflection (>=1.5) [details]|
|Copyright||2014 Galois, Inc.|
|Category||Math, Numerical, Statistics|
|Source repository||this: git clone https://github.com/GaloisInc/estimator(tag 1.0.0)|
|Uploaded||Fri Dec 5 23:55:33 UTC 2014 by JameySharp|
|werror||Make warnings errors||Disabled||Automatic|
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
For package maintainers and hackage trustees