Struct ndarray_rand::rand_distr::Poisson

pub struct Poisson<F> where
    F: Float + FloatConst,
    Standard: Distribution<F>,  { /* fields omitted */ }

The Poisson distribution Poisson(lambda).

This distribution has a density function: f(k) = lambda^k * exp(-lambda) / k! for k >= 0.

Example

use rand_distr::{Poisson, Distribution};

let poi = Poisson::new(2.0).unwrap();
let v = poi.sample(&mut rand::thread_rng());
println!("{} is from a Poisson(2) distribution", v);

Implementations

impl<F> Poisson<F> where
    F: Float + FloatConst,
    Standard: Distribution<F>, 

pub fn new(lambda: F) -> Result<Poisson<F>, Error>

Construct a new Poisson with the given shape parameter lambda.

Trait Implementations

impl<F> Clone for Poisson<F> where
    F: Clone + Float + FloatConst,
    Standard: Distribution<F>, 

pub fn clone(&self) -> Poisson<F>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F> Copy for Poisson<F> where
    F: Copy + Float + FloatConst,
    Standard: Distribution<F>, 

impl<F> Debug for Poisson<F> where
    F: Debug + Float + FloatConst,
    Standard: Distribution<F>, 

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

Formats the value using the given formatter.

impl<F> Distribution<F> for Poisson<F> where
    F: Float + FloatConst,
    Standard: Distribution<F>, 

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

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.