| Name : ghc-statistics-linreg
| |
| Version : 0.3
| Vendor : openSUSE
|
| Release : bp154.1.17
| Date : 2022-05-09 13:31:01
|
| Group : Unspecified
| Source RPM : ghc-statistics-linreg-0.3-bp154.1.17.src.rpm
|
| Size : 0.12 MB
| |
| Packager : https://bugs_opensuse_org
| |
| Summary : 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.
* 0.3: 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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/openSUSE:/Backports:/SLE-15-SP4/standard/x86_64 |
