Struct rand_distr::NormalInverseGaussian

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

The normal-inverse Gaussian distribution

Implementations

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

pub fn new(alpha: F, beta: F) -> Result<NormalInverseGaussian<F>, Error>

Construct a new NormalInverseGaussian distribution with the given alpha (tail heaviness) and beta (asymmetry) parameters.

Trait Implementations

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

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

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

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

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