Statistics.Distribution.CauchyLorentz

statistics-0.13.3.0: A library of statistical types, data, and functions

Copyright | (c) 2011 Aleksey Khudyakov
License | BSD3
Maintainer | bos@serpentine.com
Stability | experimental
Portability | portable
Safe Haskell | None
Language | Haskell98

Statistics.Distribution.CauchyLorentz

Contents

- Constructors

Description

The Cauchy-Lorentz distribution. It's also known as Lorentz distribution or Breit–Wigner distribution.

It doesn't have mean and variance.

Synopsis

- data CauchyDistribution
- cauchyDistribMedian :: CauchyDistribution -> Double
- cauchyDistribScale :: CauchyDistribution -> Double
- cauchyDistribution :: Double -> Double -> CauchyDistribution
- standardCauchy :: CauchyDistribution

# Documentation

data CauchyDistribution #

Cauchy-Lorentz distribution.

Instances

Eq CauchyDistribution # |
Methods (==) :: CauchyDistribution -> CauchyDistribution -> Bool # (/=) :: CauchyDistribution -> CauchyDistribution -> Bool #
Data CauchyDistribution # |
Methods gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> CauchyDistribution -> c CauchyDistribution # gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c CauchyDistribution # toConstr :: CauchyDistribution -> Constr # dataTypeOf :: CauchyDistribution -> DataType # dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c CauchyDistribution) # dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c CauchyDistribution) # gmapT :: (forall b. Data b => b -> b) -> CauchyDistribution -> CauchyDistribution # gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> CauchyDistribution -> r # gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> CauchyDistribution -> r # gmapQ :: (forall d. Data d => d -> u) -> CauchyDistribution -> [u] # gmapQi :: Int -> (forall d. Data d => d -> u) -> CauchyDistribution -> u # gmapM :: Monad m => (forall d. Data d => d -> m d) -> CauchyDistribution -> m CauchyDistribution # gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> CauchyDistribution -> m CauchyDistribution # gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> CauchyDistribution -> m CauchyDistribution #
Read CauchyDistribution # |
Methods readsPrec :: Int -> ReadS CauchyDistribution # readList :: ReadS [CauchyDistribution] # readPrec :: ReadPrec CauchyDistribution # readListPrec :: ReadPrec [CauchyDistribution] #
Show CauchyDistribution # |
Methods showsPrec :: Int -> CauchyDistribution -> ShowS # show :: CauchyDistribution -> String # showList :: [CauchyDistribution] -> ShowS #
Generic CauchyDistribution # |
Associated Types type Rep CauchyDistribution :: * -> * # Methods from :: CauchyDistribution -> Rep CauchyDistribution x # to :: Rep CauchyDistribution x -> CauchyDistribution #
FromJSON CauchyDistribution # |
Methods parseJSON :: Value -> Parser CauchyDistribution # parseJSONList :: Value -> Parser [CauchyDistribution] #
ToJSON CauchyDistribution # |
Methods toJSON :: CauchyDistribution -> Value # toEncoding :: CauchyDistribution -> Encoding # toJSONList :: [CauchyDistribution] -> Value # toEncodingList :: [CauchyDistribution] -> Encoding #
Binary CauchyDistribution # |
Methods put :: CauchyDistribution -> Put # get :: Get CauchyDistribution # putList :: [CauchyDistribution] -> Put #
ContGen CauchyDistribution # |
Methods genContVar :: PrimMonad m => CauchyDistribution -> Gen (PrimState m) -> m Double #
Entropy CauchyDistribution # |
Methods entropy :: CauchyDistribution -> Double #
MaybeEntropy CauchyDistribution # |
Methods maybeEntropy :: CauchyDistribution -> Maybe Double #
ContDistr CauchyDistribution # |
Methods density :: CauchyDistribution -> Double -> Double # quantile :: CauchyDistribution -> Double -> Double # logDensity :: CauchyDistribution -> Double -> Double #
Distribution CauchyDistribution # |
Methods cumulative :: CauchyDistribution -> Double -> Double # complCumulative :: CauchyDistribution -> Double -> Double #
type Rep CauchyDistribution # |
type Rep CauchyDistribution = D1 (MetaData "CauchyDistribution" "Statistics.Distribution.CauchyLorentz" "statistics-0.13.3.0-A6M5lvDj6Zg1bzI7OU7tSj" False) (C1 (MetaCons "CD" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "cauchyDistribMedian") SourceUnpack SourceStrict DecidedUnpack) (Rec0 Double)) (S1 (MetaSel (Just Symbol "cauchyDistribScale") SourceUnpack SourceStrict DecidedUnpack) (Rec0 Double))))

cauchyDistribMedian :: CauchyDistribution -> Double #

Central value of Cauchy-Lorentz distribution which is its mode and median. Distribution doesn't have mean so function is named after median.

cauchyDistribScale :: CauchyDistribution -> Double #

Scale parameter of Cauchy-Lorentz distribution. It's different from variance and specify half width at half maximum (HWHM).

# Constructors

cauchyDistribution #

Arguments

:: Double | Central point
-> Double | Scale parameter (FWHM)
-> CauchyDistribution |

Cauchy distribution

standardCauchy :: CauchyDistribution #