Trait SampleableDistribution 

pub trait SampleableDistribution<T> {
    // Required method
    fn rvs(&self, size: usize) -> StatsResult<Vec<T>>;
}

Distribution trait for statistical distributions that can be sampled

Required Methods

fn rvs(&self, size: usize) -> StatsResult<Vec<T>>

Generate random samples from the distribution

Dyn Compatibility

This trait is dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety".

Implementors

impl SampleableDistribution<ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for Dirichlet

Implementation of SampleableDistribution for Dirichlet

impl SampleableDistribution<ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for Multinomial

Implementation of SampleableDistribution for Multinomial

impl SampleableDistribution<ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for MultivariateLognormal

Implementation of SampleableDistribution for MultivariateLognormal

impl SampleableDistribution<ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for MultivariateNormal

Implementation of SampleableDistribution for MultivariateNormal

impl SampleableDistribution<ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for MultivariateT

Implementation of SampleableDistribution for MultivariateT

impl SampleableDistribution<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>> for InverseWishart

Implementation of SampleableDistribution for InverseWishart

impl SampleableDistribution<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>> for Wishart

Implementation of SampleableDistribution for Wishart

impl<F: Float + NumCast + Debug + Display> SampleableDistribution<F> for Beta<F>

Implementation of SampleableDistribution for Beta

impl<F: Float + NumCast + Debug + Display> SampleableDistribution<F> for Exponential<F>

Implementation of SampleableDistribution for Exponential

impl<F: Float + NumCast + Debug + Send + Sync + 'static + Display> SampleableDistribution<F> for Gamma<F>

Implementation of SampleableDistribution for Gamma

impl<F: Float + NumCast + Display> SampleableDistribution<F> for Bernoulli<F>

Implementation of SampleableDistribution for Bernoulli

impl<F: Float + NumCast + Display> SampleableDistribution<F> for Binomial<F>

Implementation of SampleableDistribution for Binomial

impl<F: Float + NumCast + Display> SampleableDistribution<F> for Cauchy<F>

Implementation of SampleableDistribution for Cauchy

impl<F: Float + NumCast + Display> SampleableDistribution<F> for GeneralizedPareto<F>

impl<F: Float + NumCast + Display> SampleableDistribution<F> for Geometric<F>

Implementation of SampleableDistribution for Geometric

impl<F: Float + NumCast + Display> SampleableDistribution<F> for Laplace<F>

Implementation of SampleableDistribution for Laplace

impl<F: Float + NumCast + Display> SampleableDistribution<F> for Logistic<F>

Implementation of SampleableDistribution for Logistic

impl<F: Float + NumCast + Display> SampleableDistribution<F> for Lognormal<F>

Implementation of SampleableDistribution for Lognormal

impl<F: Float + NumCast + Display> SampleableDistribution<F> for NegativeBinomial<F>

Implementation of SampleableDistribution for NegativeBinomial

impl<F: Float + NumCast + Display> SampleableDistribution<F> for Normal<F>

Implementation of SampleableDistribution for Normal

impl<F: Float + NumCast + Display> SampleableDistribution<F> for Pareto<F>

Implementation of SampleableDistribution for Pareto

impl<F: Float + NumCast + Display> SampleableDistribution<F> for Poisson<F>

Implementation of SampleableDistribution for Poisson

impl<F: Float + NumCast + Display> SampleableDistribution<F> for StableDistribution<F>

impl<F: Float + NumCast + Display> SampleableDistribution<F> for Tweedie<F>

impl<F: Float + NumCast + Display> SampleableDistribution<F> for Uniform<F>

Implementation of SampleableDistribution for Uniform

impl<F: Float + NumCast + Display> SampleableDistribution<F> for Weibull<F>

Implementation of SampleableDistribution for Weibull

impl<F: Float + NumCast + Send + Sync + 'static + Display> SampleableDistribution<F> for ChiSquare<F>

Implementation of SampleableDistribution for ChiSquare

impl<F: Float + NumCast + Send + Sync + 'static + Display> SampleableDistribution<F> for StudentT<F>

Implementation of SampleableDistribution for StudentT

impl<F> SampleableDistribution<F> for InverseGaussian<F>

where F: Float + NumCast + Display,

impl<T: Float + NumCast> SampleableDistribution<T> for F<T>

Implementation of SampleableDistribution for F