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distribution_info.yaml
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distribution_info.yaml
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Anderson-Darling Distribution:
id: 1
name: AndersonDarling
inputNames:
- ADn
labels:
- 'n'
defaultValues:
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitAndersonDarling
plotlyFunc: plotlyAndersonDarlingDistribution
ArcSine Distribution:
id: 2
name: ArcSine
inputNames:
- ArcSineA
- ArcSineB
labels:
- A
- B
defaultValues:
- 1.0
- 2.0
hasImplementation: yes
isWithSD: no
fitFunc: fitArcSine
plotlyFunc: plotlyArcSineDistribution
Benford Distribution:
id: 3
name: Benford
inputNames: Benfn
labels: number of leading digits
defaultValues: 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitBenford
plotlyFunc: plotlyBenfordDistribution
Bernoulli Distribution:
id: 4
name: Bernoulli
inputNames: BernProb
labels: Probability
defaultValues: 0.5
hasImplementation: yes
isWithSD: no
fitFunc: fitBernoulli
plotlyFunc: plotlyBernoulliDistribution
Beta Distribution:
id: 5
name: Beta
inputNames:
- BetaAlpha
- BetaBeta
labels:
- Alpha
- Beta
defaultValues:
- 2.0
- 2.0
hasImplementation: yes
isWithSD: no
fitFunc: fitBeta
plotlyFunc: plotlyBetaDistribution
Beta (Generalized) Distribution:
id: 6
name: BetaGeneralized
inputNames:
- BetaGenA
- BetaGenB
- BetaGenC
- BetaGenP
labels:
- A
- B
- C
- P
defaultValues:
- 3.0
- 2.0
- 1.0
- 5.0
hasImplementation: yes
isWithSD: no
fitFunc: fitBetaGeneralized
plotlyFunc: plotlyBetaGeneralizedDistribution
Beta-Binomial Distribution:
id: 7
name: BetaBinomial
inputNames:
- BetaBinomN
- BetaBinomU
- BetaBinomV
labels:
- 'n'
- alpha
- beta
defaultValues:
- 2.0
- 3.0
- 0.2
hasImplementation: yes
isWithSD: no
fitFunc: fitBetaBinomial
plotlyFunc: plotlyBetaBinomialDistribution
Binomial Distribution:
id: 8
name: Binomial
inputNames:
- BinomP
- BinomN
labels:
- Probability
- 'n'
defaultValues:
- 0.5
- 10.0
hasImplementation: yes
isWithSD: no
fitFunc: fitBinomial
plotlyFunc: plotlyBinomialDistribution
Birthday Distribution:
id: 9
name: Birthday
inputNames:
- BirthN
- BirthK
labels:
- 'n'
- 'k'
defaultValues:
- 365.0
- 20
hasImplementation: yes
isWithSD: no
fitFunc: fitBirthday
plotlyFunc: plotlyBirthdayDistribution
Bivariate Normal Distribution (3D):
id: 10
name: BivariateNormal3D
inputNames:
- BivaM1
- BivaV1
- BivaM2
- BivaV2
- BivaCov
labels:
- mean of the first random variable
- variance of the first random variable
- mean for the second random variable
- variance of the second random variable
- covariance of the two random variables
defaultValues:
- 0.0
- 2.0
- 0.0
- 2.0
- -1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitBivariateNormal3D
plotlyFunc: plotlyBivariateNormal3DDistribution
Cauchy Distribution:
id: 11
name: Cauchy
inputNames:
- CauchyX0
- CauchyGamma
labels:
- x0
- Gamma
defaultValues:
- 1.0
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitCauchy
plotlyFunc: plotlyCauchyDistribution
Chi Distribution:
id: 12
name: Chi
inputNames: ChiK
labels: k
defaultValues: 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitChi
plotlyFunc: plotlyChiDistribution
Chi Square Distribution:
id: 13
name: ChiSquare
inputNames: Chi2n
labels: 'n'
defaultValues: 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitChiSquare
plotlyFunc: plotlyChiSquareDistribution
Chi Square Non Central Distribution:
id: 14
name: ChiSquareNonCentral
inputNames:
- Chi2NCn
- Chi2NCNCP
labels:
- 'n'
- non-centrality paramter
defaultValues:
- 1.0
- 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitChiSquareNonCentral
plotlyFunc: plotlyChiSquareNonCentralDistribution
Circle Distribution:
id: 15
name: Circle
inputNames: CircleRadius
labels: radius
defaultValues: 2.0
hasImplementation: yes
isWithSD: no
fitFunc: fitCircle
plotlyFunc: plotlyCircleDistribution
Continuous Uniform Distribution:
id: 16
name: ContinuousUniform
inputNames:
- UnifMin
- UnifMax
labels:
- Min.
- Max.
defaultValues:
- 0.0
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitContinuousUniform
plotlyFunc: plotlyContinuousUniformDistribution
Coupon Distribution:
id: 17
name: Coupon
inputNames:
- CouponPopSize
- CouponDistNum
labels:
- Population Size
- Number of distinct values needed
defaultValues:
- 10
- 4
hasImplementation: yes
isWithSD: no
fitFunc: fitCoupon
plotlyFunc: plotlyCouponDistribution
Die Distribution:
id: 18
name: Die
inputNames: DieN
labels: 'n (0 <= n <= 5)'
defaultValues: 0
hasImplementation: yes
isWithSD: no
fitFunc: fitDie
plotlyFunc: plotlyDieDistribution
Discrete ArcSine Distribution:
id: 19
name: DiscreteArcSine
inputNames:
- DisArcSineA
- DisArcSineB
labels:
- A
- B
defaultValues:
- 1.0
- 30.0
hasImplementation: yes
isWithSD: no
fitFunc: fitDiscreteArcSine
plotlyFunc: plotlyDiscreteArcSineDistribution
Discrete Uniform Distribution:
id: 20
name: DiscreteUniform
inputNames:
- DisUnifMin
- DisUnifMax
labels:
- Min.
- Max.
defaultValues:
- 0.0
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitDiscreteUniform
plotlyFunc: plotlyDiscreteUniformDistribution
Erlang Distribution:
id: 21
name: Erlang
inputNames:
- ErlangScale
- ErlangShape
labels:
- scale
- shape
defaultValues:
- 1.0
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitErlang
plotlyFunc: plotlyErlangDistribution
Error Distribution:
id: 22
name: Error
inputNames:
- ErrorLocation
- ErrorScale
- ErrorShape
labels:
- location
- scale
- shape
defaultValues:
- 0.0
- 1.0
- 2.0
hasImplementation: yes
isWithSD: no
fitFunc: fitError
plotlyFunc: plotlyErrorDistribution
Exponential Distribution:
id: 23
name: Exponential
inputNames: ExpLambda
labels: lambda
defaultValues: 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitExponential
plotlyFunc: plotlyExponentialDistribution
Finite Distribution:
id: 24
name: Finite
inputNames:
- FiniteA
- FiniteB
- FiniteW
labels:
- a
- b
- w
defaultValues:
- 1
- 1
- 1
hasImplementation: yes
isWithSD: no
fitFunc: fitFinite
plotlyFunc: plotlyFiniteDistribution
F Distribution:
id: 25
name: FisherF
inputNames:
- FdOne
- FdTwo
labels:
- d1
- d2
defaultValues:
- 1.0
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitFisherF
plotlyFunc: plotlyFisherFDistribution
Fishers-Tippett Distribution:
id: 26
name: FisherTippett
inputNames:
- GEVMiu
- GEVSigma
- GEVEpsilon
labels:
- miu
- sigma
- Epsilon
defaultValues:
- 1.0
- 1.0
- 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitFisherTippett
plotlyFunc: plotlyFisherTippettDistribution
Gamma Distribution:
id: 27
name: Gamma
inputNames:
- GammaA
- GammaB
labels:
- alpha
- beta
defaultValues:
- 1.0
- 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitGamma
plotlyFunc: plotlyGammaDistribution
General Cauchy Distribution:
id: 28
name: GeneralCauchy
inputNames:
- GeneralCauchyAlpha
- GeneralCauchyBeta
labels:
- alpha
- beta
defaultValues:
- 1.0
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitGeneralCauchy
plotlyFunc: plotlyGeneralCauchyDistribution
Generalized Extreme Value (GEV) Distribution:
id: 29
name: GeneralizedExtremeValueGEV
inputNames:
- GEVMiu
- GEVSigma
- GEVEpsilon
labels:
- miu
- sigma
- Epsilon
defaultValues:
- 1.0
- 1.0
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitGeneralizedExtremeValueGEV
plotlyFunc: plotlyGeneralizedExtremeValueGEVDistribution
Geometric Distribution:
id: 30
name: Geometric
inputNames: GeomProb
labels: Probability
defaultValues: 0.5
hasImplementation: yes
isWithSD: yes
fitFunc: fitGeometric
plotlyFunc: plotlyGeometricDistribution
Gilbrats Distribution:
id: 31
name: Gilbrats
inputNames:
- GilbratsMu
- GilbratsSigma
labels:
- mu
- sigma
defaultValues:
- 0.0
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitGilbrats
plotlyFunc: plotlyGilbratsDistribution
Gompertz Distribution:
id: 32
name: Gompertz
inputNames:
- Gompertz_N
- Gompertz_B
labels:
- shape eta
- scale Beta
defaultValues:
- 2.0
- 3.0
hasImplementation: yes
isWithSD: no
fitFunc: fitGompertz
plotlyFunc: plotlyGompertzDistribution
Gumbel Distribution:
id: 33
name: Gumbel
inputNames:
- Gumbel_U
- Gumbel_Beta
labels:
- location u
- scale Beta
defaultValues:
- 2.0
- 3.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitGumbel
plotlyFunc: plotlyGumbelDistribution
Half Normal Distribution:
id: 34
name: HalfNormal
inputNames: HNorm
labels: sigma
defaultValues: 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitHalfNormal
plotlyFunc: plotlyHalfNormalDistribution
Hyper Geometric Distribution:
id: 35
name: HyperGeometric
inputNames:
- HyperM
- HyperN
- HyperK
labels:
- m
- 'N'
- 'n'
defaultValues:
- 50.0
- 500.0
- 100.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitHyperGeometric
plotlyFunc: plotlyHyperGeometricDistribution
Hyperbolic-Secant Distribution:
id: 36
name: HyperbolicSecant
inputNames:
- HSmu
- HSsigma
labels:
- mu
- sigma
defaultValues:
- 0.0
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitHyperbolicSecant
plotlyFunc: plotlyHyperbolicSecantDistribution
Inverse-Gamma Distribution:
id: 37
name: InverseGamma
inputNames:
- InvGammaA
- InvGammaB
labels:
- alpha
- beta
defaultValues:
- 1.0
- 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitInverseGamma
plotlyFunc: plotlyInverseGammaDistribution
Inverse-Gaussian(Wald) Distribution:
id: 38
name: InverseGaussianWald
inputNames:
- InvGausM
- InvGausL
labels:
- mu
- lambda
defaultValues:
- 1.0
- 0.2
hasImplementation: yes
isWithSD: yes
fitFunc: fitInverseGaussianWald
plotlyFunc: plotlyInverseGaussianWaldDistribution
Johnson SB (Bounded) Distribution:
id: 39
name: JohnsonSBBounded
inputNames:
- JohnSBgamma
- JohnSBdelta
- JohnSBxi
- JohnSBlambda
labels:
- gamma
- delta
- xi
- lambda
defaultValues:
- -0.5
- 2.0
- -0.5
- 2.0
hasImplementation: yes
isWithSD: no
fitFunc: fitJohnsonSBBounded
plotlyFunc: plotlyJohnsonSBBoundedDistribution
Johnson SU (Unbounded) Distribution:
id: 40
name: JohnsonSUUnbounded
inputNames:
- JohnSUgamma
- JohnSUdelta
- JohnSUxi
- JohnSUlambda
labels:
- gamma
- delta
- xi
- lambda
defaultValues:
- -0.5
- 2.0
- -0.5
- 2.0
hasImplementation: yes
isWithSD: no
fitFunc: fitJohnsonSUUnbounded
plotlyFunc: plotlyJohnsonSUUnboundedDistribution
Kolmogorov Distribution:
id: 41
name: Kolmogorov
inputNames: KolmogorovDegree
labels: n (degree)
defaultValues: 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitKolmogorov
plotlyFunc: plotlyKolmogorovDistribution
Laplace Distribution:
id: 42
name: Laplace
inputNames:
- LapMu
- LapSig
labels:
- mu
- sigma
defaultValues:
- 0.0
- 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitLaplace
plotlyFunc: plotlyLaplaceDistribution
Logarithmic-series Distribution:
id: 43
name: LogarithmicSeries
inputNames: LogP
labels: P
defaultValues: 0.5
hasImplementation: yes
isWithSD: yes
fitFunc: fitLogarithmicSeries
plotlyFunc: plotlyLogarithmicSeriesDistribution
Logistic Distribution:
id: 44
name: Logistic
inputNames:
- LogiA
- LogiB
labels:
- a
- b
defaultValues:
- 0.0
- 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitLogistic
plotlyFunc: plotlyLogisticDistribution
Logistic Exponential Distribution:
id: 45
name: LogisticExponential
inputNames:
- LogEx_A
- LogEx_B
labels:
- a
- b
defaultValues:
- 5.0
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitLogisticExponential
plotlyFunc: plotlyLogisticExponentialDistribution
LogNormal Distribution:
id: 46
name: LogNormal
inputNames:
- LogNormMean
- LogNormSD
labels:
- mean
- standard deviation
defaultValues:
- 0.0
- 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitLogNormal
plotlyFunc: plotlyLogNormalDistribution
Lomax Distribution:
id: 47
name: Lomax
inputNames:
- LomaxLamda
- LomaxKappa
labels:
- Lambda
- Kappa
defaultValues:
- 1.0
- 2.0
hasImplementation: yes
isWithSD: no
fitFunc: fitLomax
plotlyFunc: plotlyLomaxDistribution
Matching Distribution:
id: 48
name: Matching
inputNames: MatchParam
labels: parameter
defaultValues: 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitMatching
plotlyFunc: plotlyMatchingDistribution
Maxwell Distribution:
id: 49
name: Maxwell
inputNames: MaxwellA
labels: a
defaultValues: 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitMaxwell
plotlyFunc: plotlyMaxwellDistribution
Minimax Distribution:
id: 50
name: Minimax
inputNames:
- Mini_B
- Mini_V
labels:
- Beta
- Gama
defaultValues:
- 1.0
- 2.0
hasImplementation: yes
isWithSD: no
fitFunc: fitMinimax
plotlyFunc: plotlyMinimaxDistribution
Mixture Distribution:
id: 51
name: Mixture
inputNames:
- MixMu1
- MixSigma1
- MixProb1
- MixMu2
- MixSigma2
- MixProb2
labels:
- mu for the first normal distribution
- sigma for the first normal distribution
- probability of first normal distribution
- mu for the second normal distribution
- sigma for the second normal distribution
- probability of second normal distribution
defaultValues:
- -2.0
- 1.0
- 0.5
- 2.0
- 1.0
- 0.5
hasImplementation: yes
isWithSD: no
fitFunc: fitMixture
plotlyFunc: plotlyMixtureDistribution
Multinomial Distribution:
id: 52
name: Multinomial
inputNames:
- MultProb
- MultN
- MultX
labels:
- Probability (comma delimited)
- Number of independent trials for each series
- List of observations used to evaluate prob-parameters (comma delimited)
defaultValues:
- "0.1,0.1,0.1,0.7"
- "10"
- "2,2,3,3"
hasImplementation: yes
isWithSD: no
fitFunc: fitMultinomial
plotlyFunc: plotlyMultinomialDistribution
Muth Distribution:
id: 53
name: Muth
inputNames: MuthKappa
labels: Kappa
defaultValues: 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitMuth
plotlyFunc: plotlyMuthDistribution
Negative Binomial Distribution:
id: 54
name: NegativeBinomial
inputNames:
- NegBiR
- NegBiP
labels:
- r
- p
defaultValues:
- 1.0
- 0.5
hasImplementation: yes
isWithSD: no
fitFunc: fitNegativeBinomial
plotlyFunc: plotlyNegativeBinomialDistribution
Negative HyperGeometric Distribution:
id: 55
name: NegativeHyperGeometric
inputNames:
- NegHyperK
- NegHyperN
- NegHyperR
labels:
- W
- B
- b
defaultValues:
- 45.0
- 30.0
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitNegativeHyperGeometric
plotlyFunc: plotlyNegativeHyperGeometricDistribution
Negative Multinomial Distribution:
id: 56
name: NegativeMultinomial
inputNames:
- NegMultGamma
- NegMultP
- NegMultX
labels:
- gamma
- Probability (comma delimited)
- List of observations used to evaluate prob-parameters (comma delimited)
defaultValues:
- "2"
- "0.1"
- "1"
hasImplementation: yes
isWithSD: no
fitFunc: fitNegativeMultinomial
plotlyFunc: plotlyNegativeMultinomialDistribution
Normal Distribution:
id: 57
name: Normal
inputNames:
- NormMean
- NormSD
labels:
- mean
- standard deviation
defaultValues:
- 0.0
- 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitNormal
plotlyFunc: plotlyNormalDistribution
Normal Truncated Distribution:
id: 58
name: NormalTruncated
inputNames:
- TruncNormMean
- TruncNormSD
- TruncNormMin
- TruncNormMax
labels:
- mean
- standard deviation
- Min
- Max
defaultValues:
- 0.0
- 3.0
- -5.0
- 5.0
hasImplementation: yes
isWithSD: no
fitFunc: fitNormalTruncated
plotlyFunc: plotlyNormalTruncatedDistribution
Pareto Distribution:
id: 59
name: Pareto
inputNames:
- ParetoA
- ParetoB
labels:
- a
- b
defaultValues:
- 1.0
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitPareto
plotlyFunc: plotlyParetoDistribution
Point Mass Distribution:
id: 60
name: PointMass
inputNames: PMD_Location
labels: location
defaultValues: 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitPointMass
plotlyFunc: plotlyPointMassDistribution
Poisson Distribution:
id: 61
name: Poisson
inputNames: PoiLambda
labels: lambda
defaultValues: 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitPoisson
plotlyFunc: plotlyPoissonDistribution
Poker Dice Distribution:
id: 62
name: PokerDice
inputNames: ~
labels: ~
defaultValues: ~
hasImplementation: yes
isWithSD: no
fitFunc: fitPokerDice
plotlyFunc: plotlyPokerDiceDistribution
Power Function Distribution:
id: 63
name: PowerFunction
inputNames:
- PowerAlpha
- PowerBeta
labels:
- alpha
- beta
defaultValues:
- 3.0
- 4.0
hasImplementation: yes
isWithSD: no
fitFunc: fitPowerFunction
plotlyFunc: plotlyPowerFunctionDistribution
Rayleigh Distribution:
id: 64
name: Rayleigh
inputNames: RayleighSigma
labels: sigma
defaultValues: 1.0
hasImplementation: yes
isWithSD: yes
fitFunc: fitRayleigh
plotlyFunc: plotlyRayleighDistribution
Rice Distribution:
id: 65
name: Rice
inputNames:
- RiceVee
- RiceSigma
labels:
- VEE
- Sigma
defaultValues:
- 1.0
- 1.0
hasImplementation: yes
isWithSD: no
fitFunc: fitRice