Trait rand::distributions::IndependentSample

pub trait IndependentSample<Support>: Sample<Support> {
    fn ind_sample<R>(&self, &mut R) -> Support
    where
        R: Rng;
}

Samples that do not require keeping track of state.

Since no state is recorded, each sample is (statistically) independent of all others, assuming the Rng used has this property.

Required methods

fn ind_sample<R>(&self, &mut R) -> Support where
    R: Rng, 

Generate a random value.

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Implementors

impl IndependentSample<f64> for Exp

fn ind_sample<R>(&self, rng: &mut R) -> f64 where
    R: Rng, 

impl IndependentSample<f64> for ChiSquared

fn ind_sample<R>(&self, rng: &mut R) -> f64 where
    R: Rng, 

impl IndependentSample<f64> for Gamma

fn ind_sample<R>(&self, rng: &mut R) -> f64 where
    R: Rng, 

impl IndependentSample<f64> for Normal

fn ind_sample<R>(&self, rng: &mut R) -> f64 where
    R: Rng, 

impl IndependentSample<f64> for StudentT

fn ind_sample<R>(&self, rng: &mut R) -> f64 where
    R: Rng, 

impl IndependentSample<f64> for LogNormal

fn ind_sample<R>(&self, rng: &mut R) -> f64 where
    R: Rng, 

impl IndependentSample<f64> for FisherF

fn ind_sample<R>(&self, rng: &mut R) -> f64 where
    R: Rng, 

impl<'a, T> IndependentSample<T> for WeightedChoice<'a, T> where
    T: Clone, 

fn ind_sample<R>(&self, rng: &mut R) -> T where
    R: Rng, 

impl<Sup> IndependentSample<Sup> for Range<Sup> where
    Sup: SampleRange, 

fn ind_sample<R>(&self, rng: &mut R) -> Sup where
    R: Rng, 

impl<Sup> IndependentSample<Sup> for RandSample<Sup> where
    Sup: Rand, 

fn ind_sample<R>(&self, rng: &mut R) -> Sup where
    R: Rng, 

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