Safe Haskell	None
Language	Haskell2010

Statistics.Probability

Contents

Probability in linear space

Description

Probability-related types.

TODO instances for serialization and further stuff TODO vector instances

Synopsis

data IsNormalized
- = Normalized
- | NotNormalized
newtype Probability (n :: IsNormalized) x = Prob {
- getProb :: x
}
prob :: (Ord x, Num x, Show x) => x -> Probability 'Normalized x
prob' :: (Ord x, Num x, Show x) => x -> Probability 'NotNormalized x
probabilityToChar :: (Num k, RealFrac k) => Probability 'Normalized k -> Char

Documentation

data IsNormalized Source #

Constructors

Normalized
NotNormalized

Probability in linear space

newtype Probability (n :: IsNormalized) x Source #

Prob wraps a Double that encodes probabilities. If Prob is tagged as Normalized, the contained values are in the range [0,...,1], otherwise they are in the range [0,...,∞].

Constructors

Prob
Fields getProb :: x

Instances

Instances details

Unbox x => Vector Vector (Probability n x) Source #

Instance details

Defined in Statistics.Probability

Methods

basicUnsafeFreeze :: Mutable Vector s (Probability n x) -> ST s (Vector (Probability n x))

basicUnsafeThaw :: Vector (Probability n x) -> ST s (Mutable Vector s (Probability n x))

basicLength :: Vector (Probability n x) -> Int

basicUnsafeSlice :: Int -> Int -> Vector (Probability n x) -> Vector (Probability n x)

basicUnsafeIndexM :: Vector (Probability n x) -> Int -> Box (Probability n x)

basicUnsafeCopy :: Mutable Vector s (Probability n x) -> Vector (Probability n x) -> ST s ()

elemseq :: Vector (Probability n x) -> Probability n x -> b -> b

Unbox x => MVector MVector (Probability n x) Source #

Instance details

Defined in Statistics.Probability

Methods

basicLength :: MVector s (Probability n x) -> Int

basicUnsafeSlice :: Int -> Int -> MVector s (Probability n x) -> MVector s (Probability n x)

basicOverlaps :: MVector s (Probability n x) -> MVector s (Probability n x) -> Bool

basicUnsafeNew :: Int -> ST s (MVector s (Probability n x))

basicInitialize :: MVector s (Probability n x) -> ST s ()

basicUnsafeReplicate :: Int -> Probability n x -> ST s (MVector s (Probability n x))

basicUnsafeRead :: MVector s (Probability n x) -> Int -> ST s (Probability n x)

basicUnsafeWrite :: MVector s (Probability n x) -> Int -> Probability n x -> ST s ()

basicClear :: MVector s (Probability n x) -> ST s ()

basicSet :: MVector s (Probability n x) -> Probability n x -> ST s ()

basicUnsafeCopy :: MVector s (Probability n x) -> MVector s (Probability n x) -> ST s ()

basicUnsafeMove :: MVector s (Probability n x) -> MVector s (Probability n x) -> ST s ()

basicUnsafeGrow :: MVector s (Probability n x) -> Int -> ST s (MVector s (Probability n x))

FromJSON x => FromJSON (Probability n x) Source #

Instance details

Defined in Statistics.Probability

Methods

parseJSON :: Value -> Parser (Probability n x) #

parseJSONList :: Value -> Parser [Probability n x] #

omittedField :: Maybe (Probability n x) #

ToJSON x => ToJSON (Probability n x) Source #

Instance details

Defined in Statistics.Probability

Methods

toJSON :: Probability n x -> Value #

toEncoding :: Probability n x -> Encoding #

toJSONList :: [Probability n x] -> Value #

toEncodingList :: [Probability n x] -> Encoding #

omitField :: Probability n x -> Bool #

Enum x => Enum (Probability n x) Source #

Instance details

Defined in Statistics.Probability

Methods

succ :: Probability n x -> Probability n x #

pred :: Probability n x -> Probability n x #

toEnum :: Int -> Probability n x #

fromEnum :: Probability n x -> Int #

enumFrom :: Probability n x -> [Probability n x] #

enumFromThen :: Probability n x -> Probability n x -> [Probability n x] #

enumFromTo :: Probability n x -> Probability n x -> [Probability n x] #

enumFromThenTo :: Probability n x -> Probability n x -> Probability n x -> [Probability n x] #

Floating x => Floating (Probability n x) Source #

Instance details

Defined in Statistics.Probability

Methods

pi :: Probability n x #

exp :: Probability n x -> Probability n x #

log :: Probability n x -> Probability n x #

sqrt :: Probability n x -> Probability n x #

(**) :: Probability n x -> Probability n x -> Probability n x #

logBase :: Probability n x -> Probability n x -> Probability n x #

sin :: Probability n x -> Probability n x #

cos :: Probability n x -> Probability n x #

tan :: Probability n x -> Probability n x #

asin :: Probability n x -> Probability n x #

acos :: Probability n x -> Probability n x #

atan :: Probability n x -> Probability n x #

sinh :: Probability n x -> Probability n x #

cosh :: Probability n x -> Probability n x #

tanh :: Probability n x -> Probability n x #

asinh :: Probability n x -> Probability n x #

acosh :: Probability n x -> Probability n x #

atanh :: Probability n x -> Probability n x #

log1p :: Probability n x -> Probability n x #

expm1 :: Probability n x -> Probability n x #

log1pexp :: Probability n x -> Probability n x #

log1mexp :: Probability n x -> Probability n x #

RealFloat x => RealFloat (Probability n x) Source #

Instance details

Defined in Statistics.Probability

Methods

floatRadix :: Probability n x -> Integer #

floatDigits :: Probability n x -> Int #

floatRange :: Probability n x -> (Int, Int) #

decodeFloat :: Probability n x -> (Integer, Int) #

encodeFloat :: Integer -> Int -> Probability n x #

exponent :: Probability n x -> Int #

significand :: Probability n x -> Probability n x #

scaleFloat :: Int -> Probability n x -> Probability n x #

isNaN :: Probability n x -> Bool #

isInfinite :: Probability n x -> Bool #

isDenormalized :: Probability n x -> Bool #

isNegativeZero :: Probability n x -> Bool #

isIEEE :: Probability n x -> Bool #

atan2 :: Probability n x -> Probability n x -> Probability n x #

Generic (Probability n x) Source #

Instance details

Defined in Statistics.Probability

Associated Types

type Rep (Probability n x)
Instance details Defined in Statistics.Probability type Rep (Probability n x) = D1 ('MetaData "Probability" "Statistics.Probability" "SciBaseTypes-0.1.1.0-1xwI5lgJSL658be1CNPDY6" 'True) (C1 ('MetaCons "Prob" 'PrefixI 'True) (S1 ('MetaSel ('Just "getProb") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 x)))