Trait rand::distributions::IndependentSample

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

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: Rng>(&self, _: &mut R) -> Support

Generate a random value.

Loading content...

Implementors

impl IndependentSample<f64> for Gamma

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

impl IndependentSample<f64> for ChiSquared

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

impl IndependentSample<f64> for FisherF

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

impl IndependentSample<f64> for StudentT

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

impl IndependentSample<f64> for Normal

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

impl IndependentSample<f64> for LogNormal

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

impl IndependentSample<f64> for Exp

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

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

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

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

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

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

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

Loading content...