Trait statrs::distribution::DiscreteCDF

source · [−]
pub trait DiscreteCDF<K: Bounded + Clone + Num, T: Float>: Min<K> + Max<K> {
    fn cdf(&self, x: K) -> T;
    fn sf(&self, x: K) -> T;

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

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

Required Methods

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));

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

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

Implementors