statistics-0.16.1.2: 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 Haskell2010

Statistics.Distribution.Uniform

Description

Variate distributed uniformly in the interval.

Synopsis

Documentation

data UniformDistribution Source #

Uniform distribution from A to B

Instances

Instances details
Eq UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

(==) :: UniformDistribution -> UniformDistribution -> Bool Source #

(/=) :: UniformDistribution -> UniformDistribution -> Bool Source #

Data UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

gfoldl :: ( forall d b. Data d => c (d -> b) -> d -> c b) -> ( forall g. g -> c g) -> UniformDistribution -> c UniformDistribution Source #

gunfold :: ( forall b r. Data b => c (b -> r) -> c r) -> ( forall r. r -> c r) -> Constr -> c UniformDistribution Source #

toConstr :: UniformDistribution -> Constr Source #

dataTypeOf :: UniformDistribution -> DataType Source #

dataCast1 :: Typeable t => ( forall d. Data d => c (t d)) -> Maybe (c UniformDistribution ) Source #

dataCast2 :: Typeable t => ( forall d e. ( Data d, Data e) => c (t d e)) -> Maybe (c UniformDistribution ) Source #

gmapT :: ( forall b. Data b => b -> b) -> UniformDistribution -> UniformDistribution Source #

gmapQl :: (r -> r' -> r) -> r -> ( forall d. Data d => d -> r') -> UniformDistribution -> r Source #

gmapQr :: forall r r'. (r' -> r -> r) -> r -> ( forall d. Data d => d -> r') -> UniformDistribution -> r Source #

gmapQ :: ( forall d. Data d => d -> u) -> UniformDistribution -> [u] Source #

gmapQi :: Int -> ( forall d. Data d => d -> u) -> UniformDistribution -> u Source #

gmapM :: Monad m => ( forall d. Data d => d -> m d) -> UniformDistribution -> m UniformDistribution Source #

gmapMp :: MonadPlus m => ( forall d. Data d => d -> m d) -> UniformDistribution -> m UniformDistribution Source #

gmapMo :: MonadPlus m => ( forall d. Data d => d -> m d) -> UniformDistribution -> m UniformDistribution Source #

Read UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

readsPrec :: Int -> ReadS UniformDistribution Source #

readList :: ReadS [ UniformDistribution ] Source #

readPrec :: ReadPrec UniformDistribution Source #

readListPrec :: ReadPrec [ UniformDistribution ] Source #

Show UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

showsPrec :: Int -> UniformDistribution -> ShowS Source #

show :: UniformDistribution -> String Source #

showList :: [ UniformDistribution ] -> ShowS Source #

Generic UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Associated Types

type Rep UniformDistribution :: Type -> Type Source #

Methods

from :: UniformDistribution -> Rep UniformDistribution x Source #

to :: Rep UniformDistribution x -> UniformDistribution Source #

ToJSON UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

toJSON :: UniformDistribution -> Value Source #

toEncoding :: UniformDistribution -> Encoding Source #

toJSONList :: [ UniformDistribution ] -> Value Source #

toEncodingList :: [ UniformDistribution ] -> Encoding Source #

FromJSON UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

parseJSON :: Value -> Parser UniformDistribution Source #

parseJSONList :: Value -> Parser [ UniformDistribution ] Source #

Binary UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

put :: UniformDistribution -> Put Source #

get :: Get UniformDistribution Source #

putList :: [ UniformDistribution ] -> Put Source #

ContGen UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

genContVar :: StatefulGen g m => UniformDistribution -> g -> m Double Source #

Entropy UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

entropy :: UniformDistribution -> Double Source #

MaybeEntropy UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

maybeEntropy :: UniformDistribution -> Maybe Double Source #

Variance UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

variance :: UniformDistribution -> Double Source #

stdDev :: UniformDistribution -> Double Source #

MaybeVariance UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

maybeVariance :: UniformDistribution -> Maybe Double Source #

maybeStdDev :: UniformDistribution -> Maybe Double Source #

Mean UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

mean :: UniformDistribution -> Double Source #

MaybeMean UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

maybeMean :: UniformDistribution -> Maybe Double Source #

ContDistr UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

density :: UniformDistribution -> Double -> Double Source #

logDensity :: UniformDistribution -> Double -> Double Source #

quantile :: UniformDistribution -> Double -> Double Source #

complQuantile :: UniformDistribution -> Double -> Double Source #

Distribution UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

Methods

cumulative :: UniformDistribution -> Double -> Double Source #

complCumulative :: UniformDistribution -> Double -> Double Source #

type Rep UniformDistribution Source #
Instance details

Defined in Statistics.Distribution.Uniform

type Rep UniformDistribution = D1 (' MetaData "UniformDistribution" "Statistics.Distribution.Uniform" "statistics-0.16.1.2-IkOne9g3oJ1vhHVSRLPUO" ' False ) ( C1 (' MetaCons "UniformDistribution" ' PrefixI ' True ) ( S1 (' MetaSel (' Just "uniformA") ' SourceUnpack ' SourceStrict ' DecidedStrict ) ( Rec0 Double ) :*: S1 (' MetaSel (' Just "uniformB") ' SourceUnpack ' SourceStrict ' DecidedStrict ) ( Rec0 Double )))

Constructors

uniformDistr :: Double -> Double -> UniformDistribution Source #

Create uniform distribution.

uniformDistrE :: Double -> Double -> Maybe UniformDistribution Source #

Create uniform distribution.

Accessors

uniformA :: UniformDistribution -> Double Source #

Low boundary of distribution

uniformB :: UniformDistribution -> Double Source #

Upper boundary of distribution