statrs::distribution

Trait DiscreteCDF

Source 
pub trait DiscreteCDF<K: Bounded + Clone + Num, T: Float>: Min<K> + Max<K> {
    // Required methods
    fn cdf(&self, x: K) -> T;
    fn sf(&self, x: K) -> T;

    // Provided method
    fn inverse_cdf(&self, p: T) -> K { ... }
}
Expand description

The DiscreteCDF trait is used to specify an interface for univariate discrete distributions.

Required Methods§

Source

fn cdf(&self, x: K) -> T

Returns the cumulative distribution function calculated at x for a given distribution. May panic depending on the implementor.

§Examples
use statrs::distribution::{DiscreteCDF, DiscreteUniform};

let n = DiscreteUniform::new(1, 10).unwrap();
assert_eq!(0.6, n.cdf(6));
Source

fn sf(&self, x: K) -> T

Returns the survival function calculated at x for a given distribution. May panic depending on the implementor.

§Examples
use statrs::distribution::{DiscreteCDF, DiscreteUniform};

let n = DiscreteUniform::new(1, 10).unwrap();
assert_eq!(0.4, n.sf(6));

Provided Methods§

Source

fn inverse_cdf(&self, p: T) -> K

Due to issues with rounding and floating-point accuracy the default implementation may be ill-behaved Specialized inverse cdfs should be used whenever possible.

§Panics

this default impl panics if provided p not on interval [0.0, 1.0]

Implementors§