Module statrs::distribution

Defines common interfaces for interacting with statistical distributions and provides concrete implementations for a variety of distributions.

Structs

Bernoulli	Implements the Bernoulli distribution which is a special case of the Binomial distribution where n = 1 (referenced Here)
Beta	Implements the Beta distribution
Binomial	Implements the Binomial distribution
Chi	Implements the Chi distribution
ChiSquared	Implements the Chi-squared distribution which is a special case of the Gamma distribution (referenced Here)
DiscreteUniform	Implements the Discrete Uniform distribution
Exponential	Implements the Exponential distribution and is a special case of the Gamma distribution (referenced here)
Gamma	Implements the Gamma distribution
LogNormal	Implements the Log-normal distribution
Normal	Implements the Normal distribution
Poisson	Implements the Poisson distribution
StudentsT	Implements the Student's T distribution
Triangular	Implements the Triangular distribution
Uniform	Implements the Continuous Uniform distribution
Weibull	Implements the Weibull distribution

Traits

Continuous	The Continuous trait extends the Distribution trait and provides an interface for interacting with continuous statistical distributions
Discrete	The Discrete trait extends the Distribution trait and provides an interface for interacting with discrete statistical distributions
Distribution	The Distribution trait is used to specify an interface for sampling statistical distributions
Univariate	The Univariate trait is used to specify an interface for univariate distributions e.g. distributions that have a closed form cumulative distribution function