statistics

package
v0.0.0-...-a17483a Latest Latest
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 Go to latest Published: Jan 26, 2024 License: MIT Imports: 9 Imported by: 7

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Constants

This section is empty.

Variables

This section is empty.

Functions

func Marshal 

func Marshal(c ContinuousDistribution) (string, error)

func UnmarshalCustomValue 

func UnmarshalCustomValue(data []byte, typeJsonField, valueJsonField string, customTypes map[string]reflect.Type) (interface{}, error)

Types

type BetaDistribution 

type BetaDistribution struct {
	Alpha float64 `json:"alpha"`
	Beta  float64 `json:"beta"`
}

func (BetaDistribution) CDF 

func (d BetaDistribution) CDF(value float64) float64

func (BetaDistribution) CentralTendency 

func (d BetaDistribution) CentralTendency() float64

func (BetaDistribution) InvCDF 

func (d BetaDistribution) InvCDF(probability float64) float64

func (BetaDistribution) PDF 

func (d BetaDistribution) PDF(value float64) float64

type BootstrappableDistribution 

type BootstrappableDistribution interface {
	FittableDistribution
	ContinuousDistribution
	Bootstrap(seed int64) ContinuousDistribution
}

type ContinuousDistribution 

type ContinuousDistribution interface {
	InvCDF(probability float64) float64
	CDF(value float64) float64
	PDF(value float64) float64
	CentralTendency() float64
}

type ContinuousDistributionContainer 

type ContinuousDistributionContainer struct {
	Type  string                 `json:"type"`
	Value ContinuousDistribution `json:"parameters"`
}

func (*ContinuousDistributionContainer) UnmarshalJSON 

func (c *ContinuousDistributionContainer) UnmarshalJSON(data []byte) error

type DeterministicDistribution 

type DeterministicDistribution struct {
	Value float64 `json:"value"`
}

func InitDeterministic 

func InitDeterministic(val float64) (*DeterministicDistribution, error)

func (DeterministicDistribution) CDF 

func (d DeterministicDistribution) CDF(val float64) float64

func (DeterministicDistribution) CentralTendency 

func (d DeterministicDistribution) CentralTendency() float64

func (DeterministicDistribution) InvCDF 

func (d DeterministicDistribution) InvCDF(probability float64) float64

func (DeterministicDistribution) PDF 

func (d DeterministicDistribution) PDF(val float64) float64

type EmpiricalDistribution 

type EmpiricalDistribution struct {
	BinStarts []float64 `json:"binstarts"`
	BinWidth  float64   `json:"binwidth"`
	BinCounts []int64   `json:"bincounts"`
	MinValue  float64   `json:"minvalue"`
	MaxValue  float64   `json:"maxvalue"`
}

func Init 

func Init(binstarts []float64, bincounts []int64) (EmpiricalDistribution, error)

func (EmpiricalDistribution) CDF 

func (e EmpiricalDistribution) CDF(value float64) float64

func (EmpiricalDistribution) CentralTendency 

func (e EmpiricalDistribution) CentralTendency() float64

func (EmpiricalDistribution) GetSampleSize 

func (e EmpiricalDistribution) GetSampleSize() int64

func (EmpiricalDistribution) InvCDF 

func (e EmpiricalDistribution) InvCDF(probability float64) float64

func (EmpiricalDistribution) PDF 

func (e EmpiricalDistribution) PDF(value float64) float64

func (EmpiricalDistribution) String 

func (e EmpiricalDistribution) String() string

type FittableDistribution 

type FittableDistribution interface {
	Fit(inputData []float64) ContinuousDistribution // could have an interface FittableDistribution or something like that
}

type LogNormalDistribution 

type LogNormalDistribution struct {
	Mean              float64 `json:"mean"`
	StandardDeviation float64 `json:"standarddeviation"`
}

func (LogNormalDistribution) CDF 

func (n LogNormalDistribution) CDF(value float64) float64

func (LogNormalDistribution) CentralTendency 

func (n LogNormalDistribution) CentralTendency() float64

func (LogNormalDistribution) InvCDF 

func (n LogNormalDistribution) InvCDF(probability float64) float64

func (LogNormalDistribution) PDF 

func (n LogNormalDistribution) PDF(value float64) float64

type LogPearsonIIIDistribution 

type LogPearsonIIIDistribution struct {
	Mean                    float64 `json:"mean"`
	StandardDeviation       float64 `json:"standarddeviation"`
	Skew                    float64 `json:"skew"`
	EquivalentYearsOfRecord int     `json:"equivalent_years_of_record"`
}

func (LogPearsonIIIDistribution) Bootstrap 

func (n LogPearsonIIIDistribution) Bootstrap(seed int64) ContinuousDistribution

func (LogPearsonIIIDistribution) CDF 

func (n LogPearsonIIIDistribution) CDF(value float64) float64

func (LogPearsonIIIDistribution) CentralTendency 

func (n LogPearsonIIIDistribution) CentralTendency() float64

func (LogPearsonIIIDistribution) Fit 

func (n LogPearsonIIIDistribution) Fit(inputData []float64) ContinuousDistribution

func (LogPearsonIIIDistribution) InvCDF 

func (n LogPearsonIIIDistribution) InvCDF(probability float64) float64

func (LogPearsonIIIDistribution) PDF 

func (n LogPearsonIIIDistribution) PDF(value float64) float64

type NormalDistribution 

type NormalDistribution struct {
	Mean              float64 `json:"mean"`
	StandardDeviation float64 `json:"standarddeviation"`
}

func (NormalDistribution) CDF 

func (n NormalDistribution) CDF(value float64) float64

func (NormalDistribution) CentralTendency 

func (n NormalDistribution) CentralTendency() float64

func (NormalDistribution) InvCDF 

func (n NormalDistribution) InvCDF(probability float64) float64

func (NormalDistribution) PDF 

func (n NormalDistribution) PDF(value float64) float64

type PearsonIIIDistribution 

type PearsonIIIDistribution struct {
	Mean              float64 `json:"mean"`
	StandardDeviation float64 `json:"standarddeviation"`
	Skew              float64 `json:"skew"`
}

func (PearsonIIIDistribution) CDF 

func (d PearsonIIIDistribution) CDF(value float64) float64

func (PearsonIIIDistribution) CentralTendency 

func (n PearsonIIIDistribution) CentralTendency() float64

func (PearsonIIIDistribution) InvCDF 

func (d PearsonIIIDistribution) InvCDF(probability float64) float64

func (PearsonIIIDistribution) PDF 

func (d PearsonIIIDistribution) PDF(value float64) float64

type ShiftedGammaDistribution 

type ShiftedGammaDistribution struct {
	Alpha float64 `json:"alpha"`
	Beta  float64 `json:"beta"`
	Shift float64 `json:"shift"`
}

func (ShiftedGammaDistribution) CDF 

func (d ShiftedGammaDistribution) CDF(value float64) float64

func (ShiftedGammaDistribution) CentralTendency 

func (n ShiftedGammaDistribution) CentralTendency() float64

func (ShiftedGammaDistribution) InvCDF 

func (d ShiftedGammaDistribution) InvCDF(probability float64) float64

func (ShiftedGammaDistribution) PDF 

func (d ShiftedGammaDistribution) PDF(value float64) float64

type TriangularDistribution 

type TriangularDistribution struct {
	Min        float64 `json:"min"`
	MostLikely float64 `json:"mostlikely"`
	Max        float64 `json:"max"`
}

func (TriangularDistribution) CDF 

func (t TriangularDistribution) CDF(value float64) float64

func (TriangularDistribution) CentralTendency 

func (t TriangularDistribution) CentralTendency() float64

func (TriangularDistribution) InvCDF 

func (t TriangularDistribution) InvCDF(probability float64) float64

func (TriangularDistribution) PDF 

func (t TriangularDistribution) PDF(value float64) float64

type UniformDistribution 

type UniformDistribution struct {
	Min float64 `json:"min"`
	Max float64 `json:"max"`
}

func (UniformDistribution) CDF 

func (u UniformDistribution) CDF(value float64) float64

func (UniformDistribution) CentralTendency 

func (u UniformDistribution) CentralTendency() float64

func (*UniformDistribution) Fit 

func (u *UniformDistribution) Fit(inputData []float64)

func (UniformDistribution) InvCDF 

func (u UniformDistribution) InvCDF(probability float64) float64

func (UniformDistribution) PDF 

func (u UniformDistribution) PDF(value float64) float64

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