Safe Haskell	Safe
Language	Haskell98

Numeric.Probability.Random

Contents

random generator
random distribution
Randomized changes
Randomized transitions

Description

Randomized values

Synopsis

newtype T a = Cons {
- decons :: State StdGen a
}
randomR :: Random a => (a, a) -> T a
run :: T a -> IO a
runSeed :: StdGen -> T a -> a
print :: Show a => T a -> IO ()
pick :: (Num prob, Ord prob, Random prob) => T prob a -> T a
type Distribution prob a = T (T prob a)
above :: (Num prob, Ord prob, Ord a) => prob -> Distribution prob a -> Distribution prob (Select a)
below :: (Num prob, Ord prob, Ord a) => prob -> Distribution prob a -> Distribution prob (Select a)
dist :: (Fractional prob, Ord a) => [T a] -> Distribution prob a
type Change a = a -> T a
change :: (Num prob, Ord prob, Random prob) => T prob a -> Change a
type Transition prob a = a -> Distribution prob a
type ApproxDist a = T [a]

random generator

newtype T a Source #

Random values

Constructors

Cons
Fields decons :: State StdGen a

Instances

Monad T Source #
Instance details Defined in Numeric.Probability.Random Methods (>>=) :: T a -> (a -> T b) -> T b # (>>) :: T a -> T b -> T b # return :: a -> T a # fail :: String -> T a #
Functor T Source #
Instance details Defined in Numeric.Probability.Random Methods fmap :: (a -> b) -> T a -> T b # (<$) :: a -> T b -> T a #
Applicative T Source #
Instance details Defined in Numeric.Probability.Random Methods pure :: a -> T a # (<>) :: T (a -> b) -> T a -> T b # liftA2 :: (a -> b -> c) -> T a -> T b -> T c # (>) :: T a -> T b -> T b # (<*) :: T a -> T b -> T a #
C T Source #
Instance details Defined in Numeric.Probability.Simulation Methods (~.) :: (Fractional prob, Ord prob, Random prob, Ord a) => Int -> (a -> T a) -> Transition prob a Source # (~..) :: (Fractional prob, Ord prob, Random prob, Ord a) => (Int, Int) -> (a -> T a) -> RExpand prob a Source # (~*.) :: (Fractional prob, Ord prob, Random prob, Ord a) => (Int, Int) -> (a -> T a) -> Transition prob a Source #
C Double T Source #
Instance details Defined in Numeric.Probability.Object Methods fromFrequencies :: [(a, Double)] -> T a Source #

randomR :: Random a => (a, a) -> T a Source #

run :: T a -> IO a Source #

Run random action in IO monad.

runSeed :: StdGen -> T a -> a Source #

Run random action without IO using a seed.

print :: Show a => T a -> IO () Source #

pick :: (Num prob, Ord prob, Random prob) => T prob a -> T a Source #

random distribution

type Distribution prob a = T (T prob a) Source #

Randomized distribution

above :: (Num prob, Ord prob, Ord a) => prob -> Distribution prob a -> Distribution prob (Select a) Source #

below :: (Num prob, Ord prob, Ord a) => prob -> Distribution prob a -> Distribution prob (Select a) Source #

dist :: (Fractional prob, Ord a) => [T a] -> Distribution prob a Source #

dist converts a list of randomly generated values into a distribution by taking equal weights for all values. Thus dist (replicate n rnd) simulates rnd n times and returns an estimation of the distribution represented by rnd.

Randomized changes

type Change a = a -> T a Source #

random change

change :: (Num prob, Ord prob, Random prob) => T prob a -> Change a Source #

Randomized transitions

type Transition prob a = a -> Distribution prob a Source #

random transition

type ApproxDist a = T [a] Source #