Copyright	(c) 2013 John McDonnell;
License	BSD3
Maintainer	bos@serpentine.com
Stability	experimental
Portability	portable
Safe Haskell	None
Language	Haskell98

Statistics.Distribution.Transform

Description

Transformations over distributions

Synopsis

data LinearTransform d = LinearTransform {
- linTransLocation :: !Double
- linTransScale :: !Double
- linTransDistr :: d
}
linTransFixedPoint :: LinearTransform d -> Double
scaleAround :: Double -> Double -> d -> LinearTransform d

Documentation

data LinearTransform d Source #

Linear transformation applied to distribution.

LinearTransform μ σ _
x' = μ + σ·x

Constructors

LinearTransform
Fields linTransLocation :: !Double Location parameter. linTransScale :: !Double Scale parameter. linTransDistr :: d Distribution being transformed.

Instances

Functor LinearTransform Source #
Instance details Defined in Statistics.Distribution.Transform Methods fmap :: (a -> b) -> LinearTransform a -> LinearTransform b # (<$) :: a -> LinearTransform b -> LinearTransform a #
Eq d => Eq (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods (==) :: LinearTransform d -> LinearTransform d -> Bool # (/=) :: LinearTransform d -> LinearTransform d -> Bool #
Data d => Data (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods gfoldl :: (forall d0 b. Data d0 => c (d0 -> b) -> d0 -> c b) -> (forall g. g -> c g) -> LinearTransform d -> c (LinearTransform d) # gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c (LinearTransform d) # toConstr :: LinearTransform d -> Constr # dataTypeOf :: LinearTransform d -> DataType # dataCast1 :: Typeable t => (forall d0. Data d0 => c (t d0)) -> Maybe (c (LinearTransform d)) # dataCast2 :: Typeable t => (forall d0 e. (Data d0, Data e) => c (t d0 e)) -> Maybe (c (LinearTransform d)) # gmapT :: (forall b. Data b => b -> b) -> LinearTransform d -> LinearTransform d # gmapQl :: (r -> r' -> r) -> r -> (forall d0. Data d0 => d0 -> r') -> LinearTransform d -> r # gmapQr :: (r' -> r -> r) -> r -> (forall d0. Data d0 => d0 -> r') -> LinearTransform d -> r # gmapQ :: (forall d0. Data d0 => d0 -> u) -> LinearTransform d -> [u] # gmapQi :: Int -> (forall d0. Data d0 => d0 -> u) -> LinearTransform d -> u # gmapM :: Monad m => (forall d0. Data d0 => d0 -> m d0) -> LinearTransform d -> m (LinearTransform d) # gmapMp :: MonadPlus m => (forall d0. Data d0 => d0 -> m d0) -> LinearTransform d -> m (LinearTransform d) # gmapMo :: MonadPlus m => (forall d0. Data d0 => d0 -> m d0) -> LinearTransform d -> m (LinearTransform d) #
Read d => Read (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods readsPrec :: Int -> ReadS (LinearTransform d) # readList :: ReadS [LinearTransform d] # readPrec :: ReadPrec (LinearTransform d) # readListPrec :: ReadPrec [LinearTransform d] #
Show d => Show (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods showsPrec :: Int -> LinearTransform d -> ShowS # show :: LinearTransform d -> String # showList :: [LinearTransform d] -> ShowS #
Generic (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Associated Types type Rep (LinearTransform d) :: Type -> Type # Methods from :: LinearTransform d -> Rep (LinearTransform d) x # to :: Rep (LinearTransform d) x -> LinearTransform d #
ToJSON d => ToJSON (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods toJSON :: LinearTransform d -> Value # toEncoding :: LinearTransform d -> Encoding # toJSONList :: [LinearTransform d] -> Value # toEncodingList :: [LinearTransform d] -> Encoding #
FromJSON d => FromJSON (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods parseJSON :: Value -> Parser (LinearTransform d) # parseJSONList :: Value -> Parser [LinearTransform d] #
Binary d => Binary (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods put :: LinearTransform d -> Put # get :: Get (LinearTransform d) # putList :: [LinearTransform d] -> Put #
ContGen d => ContGen (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods genContVar :: PrimMonad m => LinearTransform d -> Gen (PrimState m) -> m Double Source #
Entropy d => Entropy (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods entropy :: LinearTransform d -> Double Source #
MaybeEntropy d => MaybeEntropy (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods maybeEntropy :: LinearTransform d -> Maybe Double Source #
Variance d => Variance (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods variance :: LinearTransform d -> Double Source # stdDev :: LinearTransform d -> Double Source #
MaybeVariance d => MaybeVariance (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods maybeVariance :: LinearTransform d -> Maybe Double Source # maybeStdDev :: LinearTransform d -> Maybe Double Source #
Mean d => Mean (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods mean :: LinearTransform d -> Double Source #
MaybeMean d => MaybeMean (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods maybeMean :: LinearTransform d -> Maybe Double Source #
ContDistr d => ContDistr (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods density :: LinearTransform d -> Double -> Double Source # quantile :: LinearTransform d -> Double -> Double Source # complQuantile :: LinearTransform d -> Double -> Double Source # logDensity :: LinearTransform d -> Double -> Double Source #
Distribution d => Distribution (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform Methods cumulative :: LinearTransform d -> Double -> Double Source # complCumulative :: LinearTransform d -> Double -> Double Source #
type Rep (LinearTransform d) Source #
Instance details Defined in Statistics.Distribution.Transform type Rep (LinearTransform d) = D1 (MetaData "LinearTransform" "Statistics.Distribution.Transform" "statistics-0.15.2.0-FCVAYbUNN6k6ys2hOZ1wTy" False) (C1 (MetaCons "LinearTransform" PrefixI True) (S1 (MetaSel (Just "linTransLocation") SourceUnpack SourceStrict DecidedStrict) (Rec0 Double) :: (S1 (MetaSel (Just "linTransScale") SourceUnpack SourceStrict DecidedStrict) (Rec0 Double) :: S1 (MetaSel (Just "linTransDistr") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 d))))

linTransFixedPoint :: LinearTransform d -> Double Source #

Get fixed point of linear transformation

scaleAround Source #

Arguments

:: Double	Fixed point
-> Double	Scale parameter
-> d	Distribution
-> LinearTransform d

Apply linear transformation to distribution.