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RPM resource ghc-statistics-linreg

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.

Found 1 sites for ghc-statistics-linreg

• https://hackage.haskell.org/package/statistics-linreg

Found 13 RPM for ghc-statistics-linreg

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Fabrice Bellet