Struct Binomial

pub struct Binomial { /* private fields */ }

The binomial distribution Binomial(n, p).

This distribution has density function: f(k) = n!/(k! (n-k)!) p^k (1-p)^(n-k) for k >= 0.

Example

use rand_distr::{Binomial, Distribution};

let bin = Binomial::new(20, 0.3).unwrap();
let v = bin.sample(&mut rand::thread_rng());
println!("{} is from a binomial distribution", v);

Implementations

impl Binomial

pub fn new(n: u64, p: f64) -> Result<Binomial, Error>

Construct a new Binomial with the given shape parameters n (number of trials) and p (probability of success).

Trait Implementations

impl Clone for Binomial

fn clone(&self) -> Binomial

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Binomial

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Binomial

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Distribution<u64> for Binomial

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, 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 Serialize for Binomial

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for Binomial