Name: normaldistribution Version: 1.1.0.3 License: BSD3 License-File: LICENSE Copyright: Bjorn Buckwalter 2011 Author: Bjorn Buckwalter Maintainer: bjorn.buckwalter@gmail.com Stability: Stable Homepage: https://github.com/bjornbm/normaldistribution Synopsis: Minimum fuss normally distributed random values. Description: 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@). . Pure: . > (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'. Category: Math, Statistics Build-Type: Simple Build-Depends: base < 5, random < 2 Exposed-Modules: Data.Random.Normal Extra-source-files: README, LICENSE