distributions

package

v1.0.0 Latest Latest Go to latest Published: Nov 4, 2025 License: MIT Imports: 4 Imported by: 0

Details

Valid go.mod file
Redistributable license
Tagged version
Stable version
Learn more about best practices

Repository

github.com/TIVerse/GopherData

Links

Open Source Insights

Documentation ¶

Overview ¶

Package distributions provides probability distributions.

Index ¶

func SetSeed(seed int64)
type Binomial
- func NewBinomial(n int, p float64) *Binomial
type Normal
- func NewNormal(mean, std float64) *Normal
- func StandardNormal() *Normal
type Uniform
- func NewUniform(low, high float64) *Uniform

Constants ¶

This section is empty.

Variables ¶

This section is empty.

Functions ¶

func SetSeed ¶

func SetSeed(seed int64)

SetSeed sets the random seed for reproducible results

Types ¶

type Binomial ¶

type Binomial struct {
	N float64 // number of trials
	P float64 // success probability
}

Binomial represents a binomial distribution.

func NewBinomial ¶

func NewBinomial(n int, p float64) *Binomial

NewBinomial creates a new binomial distribution.

func (*Binomial) CDF ¶

func (b *Binomial) CDF(k int) float64

CDF returns the cumulative distribution function at k. P(X <= k)

func (*Binomial) Mean ¶

func (b *Binomial) Mean() float64

Mean returns the mean of the distribution.

func (*Binomial) PMF ¶

func (b *Binomial) PMF(k int) float64

PMF returns the probability mass function at k. P(X = k)

func (*Binomial) Sample ¶

func (b *Binomial) Sample(nSamples int) []int

Sample generates n random samples from the distribution.

func (*Binomial) Variance ¶

func (b *Binomial) Variance() float64

Variance returns the variance of the distribution.

type Normal ¶

type Normal struct {
	Mean float64 // mean (μ)
	Std  float64 // standard deviation (σ)
	// contains filtered or unexported fields
}

Normal represents a normal (Gaussian) distribution.

func NewNormal ¶

func NewNormal(mean, std float64) *Normal

NewNormal creates a new normal distribution.

func StandardNormal ¶

func StandardNormal() *Normal

StandardNormal creates a standard normal distribution (mean=0, std=1).

func (*Normal) CDF ¶

func (n *Normal) CDF(x float64) float64

CDF returns the cumulative distribution function at x. P(X <= x)

func (*Normal) MeanValue ¶

func (n *Normal) MeanValue() float64

Mean returns the mean of the distribution.

func (*Normal) PDF ¶

func (n *Normal) PDF(x float64) float64

PDF returns the probability density function at x.

func (*Normal) PPF ¶

func (n *Normal) PPF(p float64) float64

PPF returns the percent point function (inverse CDF) at p. Also known as the quantile function.

func (*Normal) Sample ¶

func (n *Normal) Sample(nSamples int) []float64

Sample generates n random samples from the distribution.

func (*Normal) Variance ¶

func (n *Normal) Variance() float64

Variance returns the variance of the distribution.

type Uniform ¶

type Uniform struct {
	Low  float64 // lower bound
	High float64 // upper bound
	// contains filtered or unexported fields
}

Uniform represents a continuous uniform distribution.

func NewUniform ¶

func NewUniform(low, high float64) *Uniform

NewUniform creates a new uniform distribution over [low, high].

func (*Uniform) CDF ¶

func (u *Uniform) CDF(x float64) float64

CDF returns the cumulative distribution function at x.

func (*Uniform) Mean ¶

func (u *Uniform) Mean() float64

Mean returns the mean of the distribution.

func (*Uniform) PDF ¶

func (u *Uniform) PDF(x float64) float64

PDF returns the probability density function at x.

func (*Uniform) PPF ¶

func (u *Uniform) PPF(p float64) float64

PPF returns the percent point function (inverse CDF) at p.

func (*Uniform) Sample ¶

func (u *Uniform) Sample(nSamples int) []float64

Sample generates n random samples from the distribution.

func (*Uniform) Variance ¶

func (u *Uniform) Variance() float64

Variance returns the variance of the distribution.

Source Files ¶

View all Source files

?	: This menu
/	: Search site
f or F	: Jump to
y or Y	: Canonical URL