estimator
Version 1.2.0.0 revision 0 uploaded by AdamFoltzer.
Package meta
- 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 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.
- Author
- Jamey Sharp
- Bug reports
- https://github.com/GaloisInc/estimator/issues
- Category
- Math, Numerical, Statistics
- Copyright
- 2014-2016 Galois, Inc.
- Homepage
- https://github.com/GaloisInc/estimator
- Maintainer
- smaccm@galois.com
- Package URL
- n/a
- Stability
- n/a