# statistics-linreg

Linear regression between two samples, based on the 'statistics' package.

http://github.com/alpmestan/statistics-linreg

 LTS Haskell 22.34: 0.3 Stackage Nightly 2024-09-17: 0.3 Latest on Hackage: 0.3

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Maintained by
This version can be pinned in stack with:statistics-linreg-0.3@sha256:95c6efe6c7f6b26bc6e9ada90ab2d18216371cf59a6ef2b517b4a6fd35d9a76f,2544

#### Module documentation for 0.3

• Statistics
Depends on 7 packages(full list with versions):

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.

• 0.2.2: 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.