# The statistics-linreg package

Provides functions to perform a linear regression between 2 samples, see the documentation of the linearRegression functions. This library is based on the `statistics` package.

0.3: you can now use all functions on any instance of the Vector class (not just unboxed vectors).

0.2.4: added distribution estimations for standard regression parameters.

0.2.3: added robust-fit support.

0.2.2: added the Total-Least-Squares version and made some refactoring to eliminate code duplication

0.2.1: added the r-squared version and improved the performances.

Code sample:

import qualified Data.Vector.Unboxed as U test :: Int -> IO () test k = do let n = 10000000 let a = k*n + 1 let b = (k+1)*n let xs = U.fromList [a..b] let ys = U.map (\x -> x*100 + 2000) xs -- thus 100 and 2000 are the alpha and beta we want putStrLn "linearRegression:" print $ linearRegression xs ys

The r-squared and Total-Least-Squares versions work the same way.

## Properties

Versions | 0.1, 0.2, 0.2.1, 0.2.2, 0.2.3, 0.2.4, 0.3 |
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Dependencies | base (==4.*), MonadRandom (>=0.1), random (>=1.0), random-shuffle (>=0.0.4), safe (>=0.3), statistics (>=0.5), vector (>=0.5) [details] |

License | MIT |

Copyright | 2010-2014 Alp Mestanogullari |

Author | Alp Mestanogullari <alpmestan@gmail.com>, Uri Barenholz <uri.barenholz@weizmann.ac.il> |

Maintainer | Alp Mestanogullari <alpmestan@gmail.com> |

Stability | Experimental |

Category | Math, Statistics |

Home page | http://github.com/alpmestan/statistics-linreg |

Bug tracker | https://github.com/alpmestan/statistics-linreg/issues |

Source repository | head: git clone http://github.com/alpmestan/statistics-linreg.git |

Uploaded | Fri Aug 22 08:41:25 UTC 2014 by AlpMestanogullari |

Distributions | LTSHaskell:0.3, NixOS:0.3, Stackage:0.3 |

Downloads | 2186 total (25 in the last 30 days) |

Votes | |

Status | Docs available [build log] Successful builds reported [all 1 reports] |

## Downloads

- statistics-linreg-0.3.tar.gz [browse] (Cabal source package)
- Package description (included in the package)