Struct rand_distr::Poisson

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pub struct Poisson<N> { /* fields omitted */ }

[−] Expand description

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: u64 = poi.sample(&mut rand::thread_rng());
println!("{} is from a Poisson(2) distribution", v);

Methods

impl<N: Float> Poisson<N> where
    Standard: Distribution<N>, [−]

pub fn new(lambda: N) -> Result<Poisson<N>, Error>[−]

Construct a new Poisson with the given shape parameter lambda.

Trait Implementations

impl<N: Clone> Clone for Poisson<N>[+]

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fn clone(&self) -> Poisson<N>[−]

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)[−]

Performs copy-assignment from source.

impl<N: Copy> Copy for Poisson<N>

impl<N: Debug> Debug for Poisson<N>[+]

[+] Show hidden undocumented items

fn fmt(&self, f: &mut Formatter) -> Result[−]

Formats the value using the given formatter.

impl<N: Float> Distribution<N> for Poisson<N> where
    Standard: Distribution<N>, [+]

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fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> N[−]

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, [−]

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

impl<N: Float> Distribution<u64> for Poisson<N> where
    Standard: Distribution<N>, [+]

[+] Show hidden undocumented items

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> u64[−]

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, [−]

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