Trait probability::distribution::Sample

pub trait Sample: Distribution {
    fn sample<S>(&self, _: &mut S) -> Self::Value
    where
        S: Source;
}

A distribution capable of drawing samples.

Required methods

fn sample<S>(&self, _: &mut S) -> Self::Value where
    S: Source, 

Draw a sample.

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Implementors

impl Sample for Bernoulli

fn sample<S>(&self, source: &mut S) -> u8 where
    S: Source, 

impl Sample for Beta

fn sample<S>(&self, source: &mut S) -> f64 where
    S: Source, 

impl Sample for Binomial

fn sample<S>(&self, source: &mut S) -> usize where
    S: Source, 

impl Sample for Categorical

fn sample<S>(&self, source: &mut S) -> usize where
    S: Source, 

impl Sample for Exponential

fn sample<S>(&self, source: &mut S) -> f64 where
    S: Source, 

impl Sample for Gamma

fn sample<S>(&self, source: &mut S) -> f64 where
    S: Source, 

Draw a sample.

References

1. G. Marsaglia and W. W. Tsang, “A simple method for generating gamma variables,” ACM Transactions on Mathematical Software, vol. 26, no. 3, pp. 363–372, September 2000.

impl Sample for Gaussian

fn sample<S>(&self, source: &mut S) -> f64 where
    S: Source, 

Draw a sample.

References

1. G. Marsaglia and W. W. Tsang, “The ziggurat method for generating random variables,” Journal of Statistical Software, vol. 5, no. 8, pp. 1–7, 10 2000.

2. D. Eddelbuettel, “Ziggurat Revisited,” 2014.

impl Sample for Laplace

fn sample<S>(&self, source: &mut S) -> f64 where
    S: Source, 

impl Sample for Logistic

fn sample<S>(&self, source: &mut S) -> f64 where
    S: Source, 

impl Sample for Lognormal

fn sample<S>(&self, source: &mut S) -> f64 where
    S: Source, 

impl Sample for Pert

fn sample<S>(&self, source: &mut S) -> f64 where
    S: Source, 

impl Sample for Triangular

fn sample<S>(&self, source: &mut S) -> f64 where
    S: Source, 

impl Sample for Uniform

fn sample<S>(&self, source: &mut S) -> f64 where
    S: Source, 

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