statistics-0.14.0.0: A library of statistical types, data, and functions

Copyright(c) 2013 John McDonnell;
LicenseBSD3
Maintainerbos@serpentine.com
Stabilityexperimental
Portabilityportable
Safe HaskellNone
LanguageHaskell98

Statistics.Distribution.Transform

Description

Transformations over distributions

Synopsis

Documentation

data LinearTransform d Source #

Linear transformation applied to distribution.

LinearTransform μ σ _
x' = μ + σ·x

Constructors

LinearTransform 

Fields

Instances

Functor LinearTransform Source # 

Methods

fmap :: (a -> b) -> LinearTransform a -> LinearTransform b #

(<$) :: a -> LinearTransform b -> LinearTransform a #

Eq d => Eq (LinearTransform d) Source # 
Data d => Data (LinearTransform d) Source # 

Methods

gfoldl :: (forall a b. Data a => c (a -> b) -> a -> 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 a. Data a => c (t a)) -> Maybe (c (LinearTransform d)) #

dataCast2 :: Typeable (* -> * -> *) t => (forall a e. (Data a, Data e) => c (t a e)) -> Maybe (c (LinearTransform d)) #

gmapT :: (forall b. Data b => b -> b) -> LinearTransform d -> LinearTransform d #

gmapQl :: (r -> r' -> r) -> r -> (forall a. Data a => a -> r') -> LinearTransform d -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall a. Data a => a -> r') -> LinearTransform d -> r #

gmapQ :: (forall a. Data a => a -> u) -> LinearTransform d -> [u] #

gmapQi :: Int -> (forall a. Data a => a -> u) -> LinearTransform d -> u #

gmapM :: Monad m => (forall a. Data a => a -> m a) -> LinearTransform d -> m (LinearTransform d) #

gmapMp :: MonadPlus m => (forall a. Data a => a -> m a) -> LinearTransform d -> m (LinearTransform d) #

gmapMo :: MonadPlus m => (forall a. Data a => a -> m a) -> LinearTransform d -> m (LinearTransform d) #

Read d => Read (LinearTransform d) Source # 
Show d => Show (LinearTransform d) Source # 
Generic (LinearTransform d) Source # 

Associated Types

type Rep (LinearTransform d) :: * -> * #

ToJSON d => ToJSON (LinearTransform d) Source # 
FromJSON d => FromJSON (LinearTransform d) Source # 
Binary d => Binary (LinearTransform d) Source # 
ContGen d => ContGen (LinearTransform d) Source # 
Entropy d => Entropy (LinearTransform d) Source # 
MaybeEntropy d => MaybeEntropy (LinearTransform d) Source # 
Variance d => Variance (LinearTransform d) Source # 
MaybeVariance d => MaybeVariance (LinearTransform d) Source # 
Mean d => Mean (LinearTransform d) Source # 
MaybeMean d => MaybeMean (LinearTransform d) Source # 
ContDistr d => ContDistr (LinearTransform d) Source # 
Distribution d => Distribution (LinearTransform d) Source # 
type Rep (LinearTransform d) Source # 
type Rep (LinearTransform d) = D1 (MetaData "LinearTransform" "Statistics.Distribution.Transform" "statistics-0.14.0.0-9xPMo3QbnR7BEP0FkvUcUB" False) (C1 (MetaCons "LinearTransform" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "linTransLocation") SourceUnpack SourceStrict DecidedUnpack) (Rec0 Double)) ((:*:) (S1 (MetaSel (Just Symbol "linTransScale") SourceUnpack SourceStrict DecidedUnpack) (Rec0 Double)) (S1 (MetaSel (Just Symbol "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.