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
Categorical	Implements the Categorical distribution, also known as the generalized Bernoulli or discrete distribution
Cauchy	Implements the Cauchy distribution, also known as the Lorentz distribution.
Chi	Implements the Chi distribution
ChiSquared	Implements the Chi-squared distribution which is a special case of the Gamma distribution (referenced Here)
Dirichlet	Implements the Dirichlet distribution
DiscreteUniform	Implements the Discrete Uniform distribution
Erlang	Implements the Erlang distribution which is a special case of the Gamma distribution
Exponential	Implements the Exponential distribution and is a special case of the Gamma distribution (referenced here)
FisherSnedecor	Implements the Fisher-Snedecor distribution also commonly known as the F-distribution
Gamma	Implements the Gamma distribution
Geometric	Implements the Geometric distribution
Hypergeometric	Implements the Hypergeometric distribution
InverseGamma	Implements the Inverse Gamma distribution
LogNormal	Implements the Log-normal distribution
Multinomial	Implements the Multinomial distribution which is a generalization of the Binomial distribution
Normal	Implements the Normal distribution
Pareto	Implements the Pareto 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

CheckedContinuous	The CheckedContinuous trait provides an interface for interacting with continuous statistical distributions with possible failure modes
CheckedDiscrete	The CheckedDiscrete trait provides an interface for interacting with discrete statistical distributions with possible failure modes
CheckedInverseCDF	The CheckedInverseCDF trait is used to specify an interface for distributions with a closed form solution to the inverse cumulative distribution function with possible failure modes. This trait should be merged into a CheckedUnivarite trait alongside InverseCDF in a future release.
Continuous	The Continuous trait provides an interface for interacting with continuous statistical distributions
Discrete	The Discrete trait provides an interface for interacting with discrete statistical distributions
InverseCDF	The InverseCDF trait is used to specify an interface for distributions with a closed form solution to the inverse cumulative distribution function. This trait will probably be merged into Univariate in a future release when already implemented distributions have InverseCDF back ported
Univariate	The Univariate trait is used to specify an interface for univariate distributions e.g. distributions that have a closed form cumulative distribution function