estimator alternatives and similar packages
Based on the "Math" category.
Alternatively, view estimator alternatives based on common mentions on social networks and blogs.

vector
An efficient implementation of Intindexed arrays (both mutable and immutable), with a powerful loop optimisation framework . 
statistics
A fast, high quality library for computing with statistics in Haskell. 
HerbiePlugin
GHC plugin that improves Haskell code's numerical stability 
computationalalgebra
GeneralPurpose Computer Algebra System as an EDSL in Haskell 
dimensional
Dimensional library variant built on Data Kinds, Closed Type Families, TypeNats (GHC 7.8+). 
mwcrandom
A very fast Haskell library for generating high quality pseudorandom numbers. 
matrix
A Haskell native implementation of matrices and their operations. 
numhask
A haskell numeric prelude, providing a clean structure for numbers and operations that combine them. 
cf
"Exact" real arithmetic for Haskell using continued fractions (Not formally proven correct) 
poly
Fast polynomial arithmetic in Haskell (dense and sparse, univariate and multivariate, usual and Laurent) 
optimization
Some numerical optimization methods implemented in Haskell 
safedecimal
Safe and very efficient arithmetic operations on fixed decimal point numbers 
equationalreasoning
Agdastyle equational reasoning in Haskell 
sbvPlugin
Formally prove properties of Haskell programs using SBV/SMT. 
eigen
Haskel binding for Eigen library. Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. 
polynomial
Haskell library for manipulating and evaluating polynomials 
diagramssolve
Miscellaneous solver code for diagrams (lowdegree polynomials, tridiagonal matrices) 
vectorbinaryinstances
Instances for the Haskell Binary class, for the types defined in the popular vector package. 
monoidsubclasses
Subclasses of Monoid with a solid theoretical foundation and practical purposes 
vectorthunbox
Deriver for unboxed vectors using Template Haskell
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README
Statespace estimation algorithms
The goal of this library is to simplify implementation and use of statespace 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.