statistics-linreg: Linear regression between two samples, based on the 'statistics' package.
Provides functions to perform a linear regression between 2 samples, see the documentation of the linearRegression functions. This library is based on the
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.
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.
|Versions [RSS]||0.1, 0.2, 0.2.1, 0.2.2, 0.2.3, 0.2.4, 0.3|
|Dependencies||base (>=4 && <5), MonadRandom (>=0.1), random (>=1.0), random-shuffle (>=0.0.4), safe (>=0.3), statistics (>=0.5), vector (>=0.5) [details]|
|Copyright||2010-2014 Alp Mestanogullari|
|Author||Alp Mestanogullari <email@example.com>, Uri Barenholz <firstname.lastname@example.org>|
|Maintainer||Alp Mestanogullari <email@example.com>|
|Source repo||head: git clone http://github.com/alpmestan/statistics-linreg.git|
|Uploaded||by AlpMestanogullari at 2014-08-22T08:41:25Z|
|Distributions||LTSHaskell:0.3, NixOS:0.3, Stackage:0.3, openSUSE:0.3|
|Reverse Dependencies||2 direct, 1 indirect [details]|
|Downloads||18822 total (130 in the last 30 days)|
|Rating||2.0 (votes: 1) [estimated by Bayesian average]|
|Status||Docs available [build log]
Successful builds reported [all 1 reports]