Copyright	(c) A. V. H. McPhail 2010 2015 2016
License	BSD3
Maintainer	haskell.vivian.mcphail <at> gmail <dot> com
Stability	provisional
Portability	uses ffi
Safe Haskell	None
Language	Haskell2010

Numeric.GSL.Distribution.Discrete

Description

GSL discrete random distribution functions

http://www.gnu.org/software/gsl/manual/

Synopsis

data OneParamDist
- = Poisson
- | Bernoulli
- | Geometric
- | Logarithmic
data TwoParamDist
- = Binomial
- | NegBinomial
- | Pascal
data ThreeParamDist = HyperGeometric
data MultiParamDist = Multinomial
data DistFunc
- = Density
- | Lower
- | Upper
- | LowInv
- | UppInv
random_1p :: OneParamDist -> Int -> Double -> Word32
random_1p_v :: OneParamDist -> Int -> Double -> Int -> Vector Word32
density_1p :: OneParamDist -> DistFunc -> Double -> Word32 -> Double
random_2p :: TwoParamDist -> Int -> Double -> Word32 -> Word32
random_2p_v :: TwoParamDist -> Int -> Double -> Word32 -> Int -> Vector Word32
density_2p :: TwoParamDist -> DistFunc -> Double -> Word32 -> Word32 -> Double
random_3p :: ThreeParamDist -> Int -> Word32 -> Word32 -> Word32 -> Word32
random_3p_v :: ThreeParamDist -> Int -> Word32 -> Word32 -> Word32 -> Int -> Vector Word32
density_3p :: ThreeParamDist -> DistFunc -> Word32 -> Word32 -> Word32 -> Word32 -> Double
random_mp :: MultiParamDist -> Int -> Word32 -> Vector Double -> Vector Word32
density_mp :: MultiParamDist -> DistFunc -> Vector Double -> Vector Word32 -> Double

Documentation

data OneParamDist #

Constructors

Poisson	mean
Bernoulli	probability
Geometric	probability
Logarithmic	probability

Instances

Enum OneParamDist #

Instance details

Defined in Numeric.GSL.Distribution.Discrete

Methods

succ :: OneParamDist -> OneParamDist #

pred :: OneParamDist -> OneParamDist #

toEnum :: Int -> OneParamDist #

fromEnum :: OneParamDist -> Int #

enumFrom :: OneParamDist -> [OneParamDist] #

enumFromThen :: OneParamDist -> OneParamDist -> [OneParamDist] #

enumFromTo :: OneParamDist -> OneParamDist -> [OneParamDist] #

enumFromThenTo :: OneParamDist -> OneParamDist -> OneParamDist -> [OneParamDist] #

data TwoParamDist #

Constructors

Binomial	probability, successes
NegBinomial	probability, successes
Pascal	probability, n

Instances

Enum TwoParamDist #

Instance details

Defined in Numeric.GSL.Distribution.Discrete

Methods

succ :: TwoParamDist -> TwoParamDist #

pred :: TwoParamDist -> TwoParamDist #

toEnum :: Int -> TwoParamDist #

fromEnum :: TwoParamDist -> Int #

enumFrom :: TwoParamDist -> [TwoParamDist] #

enumFromThen :: TwoParamDist -> TwoParamDist -> [TwoParamDist] #

enumFromTo :: TwoParamDist -> TwoParamDist -> [TwoParamDist] #

enumFromThenTo :: TwoParamDist -> TwoParamDist -> TwoParamDist -> [TwoParamDist] #

data ThreeParamDist #

Constructors

HyperGeometric

number type 1, number type 2, samples

Instances

Enum ThreeParamDist #

Instance details

Defined in Numeric.GSL.Distribution.Discrete

Methods

succ :: ThreeParamDist -> ThreeParamDist #

pred :: ThreeParamDist -> ThreeParamDist #

toEnum :: Int -> ThreeParamDist #

fromEnum :: ThreeParamDist -> Int #

enumFrom :: ThreeParamDist -> [ThreeParamDist] #

enumFromThen :: ThreeParamDist -> ThreeParamDist -> [ThreeParamDist] #

enumFromTo :: ThreeParamDist -> ThreeParamDist -> [ThreeParamDist] #

enumFromThenTo :: ThreeParamDist -> ThreeParamDist -> ThreeParamDist -> [ThreeParamDist] #

data MultiParamDist #

Constructors

Multinomial

trials, probabilities

Instances

Enum MultiParamDist #

Instance details

Defined in Numeric.GSL.Distribution.Discrete

Methods

succ :: MultiParamDist -> MultiParamDist #

pred :: MultiParamDist -> MultiParamDist #

toEnum :: Int -> MultiParamDist #

fromEnum :: MultiParamDist -> Int #

enumFrom :: MultiParamDist -> [MultiParamDist] #

enumFromThen :: MultiParamDist -> MultiParamDist -> [MultiParamDist] #

enumFromTo :: MultiParamDist -> MultiParamDist -> [MultiParamDist] #

enumFromThenTo :: MultiParamDist -> MultiParamDist -> MultiParamDist -> [MultiParamDist] #

data DistFunc #

Constructors

Density	pdf
Lower	lower cdf
Upper	upper cdf
LowInv	lower inverse cdf
UppInv	upper inverse cdf

Instances

Enum DistFunc #
Instance details Defined in Numeric.GSL.Distribution.Common Methods succ :: DistFunc -> DistFunc # pred :: DistFunc -> DistFunc # toEnum :: Int -> DistFunc # fromEnum :: DistFunc -> Int # enumFrom :: DistFunc -> [DistFunc] # enumFromThen :: DistFunc -> DistFunc -> [DistFunc] # enumFromTo :: DistFunc -> DistFunc -> [DistFunc] # enumFromThenTo :: DistFunc -> DistFunc -> DistFunc -> [DistFunc] #
Eq DistFunc #
Instance details Defined in Numeric.GSL.Distribution.Common Methods (==) :: DistFunc -> DistFunc -> Bool # (/=) :: DistFunc -> DistFunc -> Bool #

random_1p #

Arguments

:: OneParamDist	distribution type
-> Int	random seed
-> Double	parameter
-> Word32	result

draw a sample from a one parameter distribution

random_1p_v #

Arguments

:: OneParamDist	distribution type
-> Int	random seed
-> Double	parameter
-> Int	number of samples
-> Vector Word32	result

draw samples from a one parameter distribution

density_1p #

Arguments

:: OneParamDist	density type
-> DistFunc	distribution function type
-> Double	parameter
-> Word32	value
-> Double	result

probability of a variate take a value outside the argument

random_2p #

Arguments

:: TwoParamDist	distribution type
-> Int	random seed
-> Double	parameter 1
-> Word32	parameter 2
-> Word32	result

draw a sample from a two parameter distribution

random_2p_v #

Arguments

:: TwoParamDist	distribution type
-> Int	random seed
-> Double	parameter 1
-> Word32	parameter 2
-> Int	number of samples
-> Vector Word32	result

draw samples from a two parameter distribution

density_2p #

Arguments

:: TwoParamDist	density type
-> DistFunc	distribution function type
-> Double	parameter 1
-> Word32	parameter 2
-> Word32	value
-> Double	result

probability of a variate take a value outside the argument

random_3p #

Arguments

:: ThreeParamDist	distribution type
-> Int	random seed
-> Word32	parameter 1
-> Word32	parameter 2
-> Word32	parameter 3
-> Word32	result

draw a sample from a three parameter distribution

random_3p_v #

Arguments

:: ThreeParamDist	distribution type
-> Int	random seed
-> Word32	parameter 1
-> Word32	parameter 2
-> Word32	parameter 3
-> Int	number of samples
-> Vector Word32	result

draw samples from a three parameter distribution

density_3p #

Arguments

:: ThreeParamDist	density type
-> DistFunc	distribution function type
-> Word32	parameter 1
-> Word32	parameter 2
-> Word32	parameter 3
-> Word32	value
-> Double	result

probability of a variate take a value outside the argument

random_mp #

Arguments

:: MultiParamDist	distribution type
-> Int	random seed
-> Word32	trials
-> Vector Double	parameters
-> Vector Word32	result

draw a sample from a multi-parameter distribution

density_mp #

Arguments

:: MultiParamDist	density type
-> DistFunc	distribution function type
-> Vector Double	parameters
-> Vector Word32	values
-> Double	result

probability of a variate take a value outside the argument