The normaldistribution package
This purpose of this library is to have a simple API and no dependencies beyond Haskell 98 in order to let you produce normally distributed random values with a minimum of fuss. This library does not attempt to be blazingly fast nor to pass stringent tests of randomness. It attempts to be very easy to install and use while being "good enough" for many applications (simulations, games, etc.). The API builds upon and is largely analogous to that of the Haskell 98 Random module (more recently System.Random).
(sample,g) = normal myRandomGen -- using a Random.RandomGen samples = normals myRandomGen -- infinite list samples2 = mkNormals 10831452 -- infinite list using a seed
In the IO monad:
sample <- normalIO samples <- normalsIO -- infinite list
With custom mean and standard deviation:
(sample,g) = normal' (mean,sigma) myRandomGen samples = normals' (mean,sigma) myRandomGen samples2 = mkNormals' (mean,sigma) 10831452
sample <- normalIO' (mean,sigma) samples <- normalsIO' (mean,sigma)
Internally the library uses the Box-Muller method to generate normally distributed values from uniformly distributed random values. If more than one sample is needed taking samples off an infinite list (created by e.g. normals) will be roughly twice as efficient as repeatedly generating individual samples with e.g. normal.
|Versions||1.0, 1.1, 18.104.22.168, 22.214.171.124, 126.96.36.199|
|Dependencies||base (<5), random (<2)|
|Copyright||Bjorn Buckwalter 2011|
|Upload date||Wed Aug 31 01:16:20 UTC 2011|