Stochastic.Distributions

Documentation

class ContinuousDistribution g where

Minimal complete definition

randDouble

Methods

randDouble :: g -> (Double, g)

randDoubles :: Int -> g -> ([Double], g)

Instances

ContinuousDistribution Uniform

class DiscreteDistribution g where

Minimal complete definition

Nothing

Methods

randInt :: g -> (Int, g)

randInts :: Int -> g -> ([Int], g)

randIntIn :: (Int, Int) -> g -> (Int, g)

data Distributions

Constructors

Distributions

Fields

mkUniform :: Int -> Uniform

mkExp :: Int -> Double -> Exponential

mkNormal :: Int -> Double -> Double -> Normal

mkZipF :: Int -> Int -> Double -> ZipF

mkGeometric :: Int -> Double -> Geometric

mkPoisson :: Int -> Double -> Poisson

mkBernoulli :: Int -> Double -> Bernoulli

mkBinomial :: Int -> Double -> Int -> Binomial

mkDistributions :: (Int -> Uniform) -> Distributions

stdDistributions :: Distributions

liftD :: DiscreteDistribution g => (Int, Int) -> (Int -> a) -> g -> (a, g)

liftC :: ContinuousDistribution g => (Double -> a) -> g -> (a, g)

liftDN :: DiscreteDistribution g => [(Int, Int)] -> ([Int] -> a) -> g -> (a, g)

liftCN :: ContinuousDistribution g => Int -> ([Double] -> a) -> g -> (a, g)