Copyright	(C) 2012 Edward Kmett
License	BSD-style (see the file LICENSE)
Maintainer	Edward Kmett <ekmett@gmail.com>
Stability	provisional
Portability	DeriveDataTypeable
Safe Haskell	Safe-Inferred
Language	Haskell2010

Statistics.Distribution.Beta

Contents

Constructor
Accessors

Description

Synopsis

data BetaDistribution
betaDistr :: Double -> Double -> BetaDistribution
betaDistrE :: Double -> Double -> Maybe BetaDistribution
improperBetaDistr :: Double -> Double -> BetaDistribution
improperBetaDistrE :: Double -> Double -> Maybe BetaDistribution
bdAlpha :: BetaDistribution -> Double
bdBeta :: BetaDistribution -> Double

Documentation

data BetaDistribution Source #

The beta distribution

Instances

Instances details

FromJSON BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods parseJSON :: Value -> Parser BetaDistribution # parseJSONList :: Value -> Parser [BetaDistribution] #
ToJSON BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods toJSON :: BetaDistribution -> Value # toEncoding :: BetaDistribution -> Encoding # toJSONList :: [BetaDistribution] -> Value # toEncodingList :: [BetaDistribution] -> Encoding #
Data BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> BetaDistribution -> c BetaDistribution # gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c BetaDistribution # toConstr :: BetaDistribution -> Constr # dataTypeOf :: BetaDistribution -> DataType # dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c BetaDistribution) # dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c BetaDistribution) # gmapT :: (forall b. Data b => b -> b) -> BetaDistribution -> BetaDistribution # gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> BetaDistribution -> r # gmapQr :: forall r r'. (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> BetaDistribution -> r # gmapQ :: (forall d. Data d => d -> u) -> BetaDistribution -> [u] # gmapQi :: Int -> (forall d. Data d => d -> u) -> BetaDistribution -> u # gmapM :: Monad m => (forall d. Data d => d -> m d) -> BetaDistribution -> m BetaDistribution # gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> BetaDistribution -> m BetaDistribution # gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> BetaDistribution -> m BetaDistribution #
Generic BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Associated Types type Rep BetaDistribution :: Type -> Type # Methods from :: BetaDistribution -> Rep BetaDistribution x # to :: Rep BetaDistribution x -> BetaDistribution #
Read BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods readsPrec :: Int -> ReadS BetaDistribution # readList :: ReadS [BetaDistribution] # readPrec :: ReadPrec BetaDistribution # readListPrec :: ReadPrec [BetaDistribution] #
Show BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods showsPrec :: Int -> BetaDistribution -> ShowS # show :: BetaDistribution -> String # showList :: [BetaDistribution] -> ShowS #
Binary BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods put :: BetaDistribution -> Put # get :: Get BetaDistribution # putList :: [BetaDistribution] -> Put #
Eq BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods (==) :: BetaDistribution -> BetaDistribution -> Bool # (/=) :: BetaDistribution -> BetaDistribution -> Bool #
ContDistr BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods density :: BetaDistribution -> Double -> Double Source # logDensity :: BetaDistribution -> Double -> Double Source # quantile :: BetaDistribution -> Double -> Double Source # complQuantile :: BetaDistribution -> Double -> Double Source #
ContGen BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods genContVar :: StatefulGen g m => BetaDistribution -> g -> m Double Source #
Distribution BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods cumulative :: BetaDistribution -> Double -> Double Source # complCumulative :: BetaDistribution -> Double -> Double Source #
Entropy BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods entropy :: BetaDistribution -> Double Source #
MaybeEntropy BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods maybeEntropy :: BetaDistribution -> Maybe Double Source #
MaybeMean BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods maybeMean :: BetaDistribution -> Maybe Double Source #
MaybeVariance BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods maybeVariance :: BetaDistribution -> Maybe Double Source # maybeStdDev :: BetaDistribution -> Maybe Double Source #
Mean BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods mean :: BetaDistribution -> Double Source #
Variance BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta Methods variance :: BetaDistribution -> Double Source # stdDev :: BetaDistribution -> Double Source #
type Rep BetaDistribution Source #
Instance details Defined in Statistics.Distribution.Beta type Rep BetaDistribution = D1 ('MetaData "BetaDistribution" "Statistics.Distribution.Beta" "statistics-0.16.2.0-Iazw6pxXVUYHaurUiPE2b2" 'False) (C1 ('MetaCons "BD" 'PrefixI 'True) (S1 ('MetaSel ('Just "bdAlpha") 'SourceUnpack 'SourceStrict 'DecidedStrict) (Rec0 Double) :*: S1 ('MetaSel ('Just "bdBeta") 'SourceUnpack 'SourceStrict 'DecidedStrict) (Rec0 Double)))

Constructor

betaDistr Source #

Arguments

:: Double	Shape parameter alpha
-> Double	Shape parameter beta
-> BetaDistribution

Create beta distribution. Both shape parameters must be positive.

betaDistrE Source #

Arguments

:: Double	Shape parameter alpha
-> Double	Shape parameter beta
-> Maybe BetaDistribution

Create beta distribution. Both shape parameters must be positive.

improperBetaDistr Source #

Arguments

:: Double	Shape parameter alpha
-> Double	Shape parameter beta
-> BetaDistribution

Create beta distribution. Both shape parameters must be non-negative. So it allows to construct improper beta distribution which could be used as improper prior.

improperBetaDistrE Source #

Arguments

:: Double	Shape parameter alpha
-> Double	Shape parameter beta
-> Maybe BetaDistribution

Create beta distribution. Both shape parameters must be non-negative. So it allows to construct improper beta distribution which could be used as improper prior.

Accessors

bdAlpha :: BetaDistribution -> Double Source #

Alpha shape parameter

bdBeta :: BetaDistribution -> Double Source #

Beta shape parameter