Struct rand_distr::InverseGaussian

pub struct InverseGaussian<F>where
    F: Float,
    StandardNormal: Distribution<F>,
    Standard: Distribution<F>,{ /* private fields */ }

The inverse Gaussian distribution

Implementations

impl<F> InverseGaussian<F>where F: Float, StandardNormal: Distribution<F>, Standard: Distribution<F>,

pub fn new(mean: F, shape: F) -> Result<InverseGaussian<F>, Error>

Construct a new InverseGaussian distribution with the given mean and shape.

Trait Implementations

impl<F> Clone for InverseGaussian<F>where F: Float + Clone, StandardNormal: Distribution<F>, Standard: Distribution<F>,

fn clone(&self) -> InverseGaussian<F>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<F> Debug for InverseGaussian<F>where F: Float + Debug, StandardNormal: Distribution<F>, Standard: Distribution<F>,

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<F> Distribution<F> for InverseGaussian<F>where F: Float, StandardNormal: Distribution<F>, Standard: Distribution<F>,

fn sample<R>(&self, rng: &mut R) -> Fwhere R: Rng + ?Sized,

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where R: Rng, Self: Sized,

Create an iterator that generates random values of T, using rng as the source of randomness.

fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S>where F: Fn(T) -> S, Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of Self through the closure F

impl<F> Copy for InverseGaussian<F>where F: Float + Copy, StandardNormal: Distribution<F>, Standard: Distribution<F>,