Trait statrs::distribution::Discrete
[−]
[src]
pub trait Discrete<T, K> { fn pmf(&self, x: T) -> K; fn ln_pmf(&self, x: T) -> K; }
The Discrete
trait extends the Distribution
trait and provides an interface for interacting with discrete
statistical distributions
Remarks
All methods provided by the Discrete
trait are unchecked, meaning
they can panic if in an invalid state or encountering invalid input
depending on the implementing distribution.
Required Methods
fn pmf(&self, x: T) -> K
Returns the probability mass function calculated at x
for a given distribution.
May panic depending on the implementor.
Examples
use statrs::distribution::{Discrete, Binomial}; use statrs::prec; let n = Binomial::new(0.5, 10).unwrap(); assert!(prec::almost_eq(n.pmf(5), 0.24609375, 1e-15));
fn ln_pmf(&self, x: T) -> K
Returns the log of the probability mass function calculated at x
for a given distribution.
May panic depending on the implementor.
Examples
use statrs::distribution::{Discrete, Binomial}; use statrs::prec; let n = Binomial::new(0.5, 10).unwrap(); assert!(prec::almost_eq(n.ln_pmf(5), (0.24609375f64).ln(), 1e-15));
Implementors
impl Discrete<u64, f64> for Bernoulli
impl Discrete<u64, f64> for Binomial
impl Discrete<u64, f64> for Categorical
impl Discrete<i64, f64> for DiscreteUniform
impl Discrete<u64, f64> for Geometric
impl Discrete<u64, f64> for Hypergeometric
impl<'a> Discrete<&'a [u64], f64> for Multinomial
impl Discrete<u64, f64> for Poisson