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.FDistribution

Description

Fisher F distribution

Synopsis

Documentation

data FDistribution Source #

F distribution

Instances

Instances details
Eq FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

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

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

Data FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

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

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

toConstr :: FDistribution -> Constr Source #

dataTypeOf :: FDistribution -> DataType Source #

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

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

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

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

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

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

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

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

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

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

Read FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

readsPrec :: Int -> ReadS FDistribution Source #

readList :: ReadS [ FDistribution ] Source #

readPrec :: ReadPrec FDistribution Source #

readListPrec :: ReadPrec [ FDistribution ] Source #

Show FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

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

show :: FDistribution -> String Source #

showList :: [ FDistribution ] -> ShowS Source #

Generic FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Associated Types

type Rep FDistribution :: Type -> Type Source #

Methods

from :: FDistribution -> Rep FDistribution x Source #

to :: Rep FDistribution x -> FDistribution Source #

ToJSON FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

toJSON :: FDistribution -> Value Source #

toEncoding :: FDistribution -> Encoding Source #

toJSONList :: [ FDistribution ] -> Value Source #

toEncodingList :: [ FDistribution ] -> Encoding Source #

FromJSON FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

parseJSON :: Value -> Parser FDistribution Source #

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

Binary FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

put :: FDistribution -> Put Source #

get :: Get FDistribution Source #

putList :: [ FDistribution ] -> Put Source #

ContGen FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

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

Entropy FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

entropy :: FDistribution -> Double Source #

MaybeEntropy FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

maybeEntropy :: FDistribution -> Maybe Double Source #

MaybeVariance FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

maybeVariance :: FDistribution -> Maybe Double Source #

maybeStdDev :: FDistribution -> Maybe Double Source #

MaybeMean FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

maybeMean :: FDistribution -> Maybe Double Source #

ContDistr FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

density :: FDistribution -> Double -> Double Source #

logDensity :: FDistribution -> Double -> Double Source #

quantile :: FDistribution -> Double -> Double Source #

complQuantile :: FDistribution -> Double -> Double Source #

Distribution FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

Methods

cumulative :: FDistribution -> Double -> Double Source #

complCumulative :: FDistribution -> Double -> Double Source #

type Rep FDistribution Source #
Instance details

Defined in Statistics.Distribution.FDistribution

type Rep FDistribution = D1 (' MetaData "FDistribution" "Statistics.Distribution.FDistribution" "statistics-0.16.1.2-IkOne9g3oJ1vhHVSRLPUO" ' False ) ( C1 (' MetaCons "F" ' PrefixI ' True ) ( S1 (' MetaSel (' Just "fDistributionNDF1") ' SourceUnpack ' SourceStrict ' DecidedStrict ) ( Rec0 Double ) :*: ( S1 (' MetaSel (' Just "fDistributionNDF2") ' SourceUnpack ' SourceStrict ' DecidedStrict ) ( Rec0 Double ) :*: S1 (' MetaSel (' Just "_pdfFactor") ' SourceUnpack ' SourceStrict ' DecidedStrict ) ( Rec0 Double ))))

Constructors

fDistribution :: Int -> Int -> FDistribution Source #

fDistributionE :: Int -> Int -> Maybe FDistribution Source #

fDistributionReal :: Double -> Double -> FDistribution Source #

fDistributionRealE :: Double -> Double -> Maybe FDistribution Source #

Accessors

fDistributionNDF1 :: FDistribution -> Double Source #

fDistributionNDF2 :: FDistribution -> Double Source #