Name: statistics-linreg Version: 0.2.3 Synopsis: Linear regression between two samples, based on the 'statistics' package. Description: 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. . * 0.2.3: 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. Homepage: http://github.com/alpmestan/statistics-linreg Bug-reports: https://github.com/alpmestan/statistics-linreg/issues License: MIT License-file: LICENSE Author: Alp Mestanogullari , Uri Barenholz Maintainer: Alp Mestanogullari Copyright: 2010-2012 Alp Mestanogullari Stability: Experimental Category: Math, Statistics Build-type: Simple Cabal-version: >=1.6 Library Exposed-modules: Statistics.LinearRegression Build-depends: statistics >= 0.5, vector >= 0.5, base >= 4 && < 5, safe >= 0.3, random >= 1.0, MonadRandom >= 0.1, random-shuffle >= 0.0.4 Ghc-options: -funbox-strict-fields -O2 source-repository head type: git location: http://github.com/alpmestan/statistics-linreg.git