Trait Mode

Source

pub trait Mode<T> {
    // Required method
    fn mode(&self) -> T;
}

Expand description

The Mode trait specifies that an object has a closed form solution for its mode(s)

Required Methods§

Source

fn mode(&self) -> T

Returns the mode, if one exists.

§Examples

use statrs::statistics::Mode;
use statrs::distribution::Uniform;

let n = Uniform::new(0.0, 1.0).unwrap();
assert_eq!(Some(0.5), n.mode());

Implementors§

Source §

impl<D> Mode<Matrix<f64, D, Const<1>, <DefaultAllocator as Allocator<D>>::Buffer<f64>>> for MultivariateNormal<D>
where D: Dim, DefaultAllocator: Allocator<D> + Allocator<D, D>,

Available on crate feature nalgebra only.

Source §

impl<D> Mode<Matrix<f64, D, Const<1>, <DefaultAllocator as Allocator<D>>::Buffer<f64>>> for MultivariateStudent<D>
where D: Dim, DefaultAllocator: Allocator<D> + Allocator<D, D>,

Available on crate feature nalgebra only.

Mode

Trait Mode Copy item path

Required Methods§

fn mode(&self) -> T

§Examples

Implementors§

impl Mode<Option<f64>> for Beta

impl Mode<Option<f64>> for Cauchy

impl Mode<Option<f64>> for Chi

impl Mode<Option<f64>> for ChiSquared

impl Mode<Option<f64>> for Dirac

impl Mode<Option<f64>> for Erlang

impl Mode<Option<f64>> for Exp

impl Mode<Option<f64>> for FisherSnedecor

impl Mode<Option<f64>> for Gamma

impl Mode<Option<f64>> for InverseGamma

impl Mode<Option<f64>> for Laplace

impl Mode<Option<f64>> for LogNormal

impl Mode<Option<f64>> for NegativeBinomial

impl Mode<Option<f64>> for Normal

impl Mode<Option<f64>> for Pareto

impl Mode<Option<f64>> for StudentsT

impl Mode<Option<f64>> for Triangular

impl Mode<Option<f64>> for Uniform

impl Mode<Option<f64>> for Weibull

impl Mode<Option<i64>> for DiscreteUniform

impl Mode<Option<u64>> for Bernoulli

impl Mode<Option<u64>> for Binomial

impl Mode<Option<u64>> for Geometric

impl Mode<Option<u64>> for Hypergeometric

impl Mode<Option<u64>> for Poisson

impl Mode<f64> for Gumbel

impl<D> Mode<Matrix<f64, D, Const<1>, <DefaultAllocator as Allocator<D>>::Buffer<f64>>> for MultivariateNormal<D>where D: Dim, DefaultAllocator: Allocator<D> + Allocator<D, D>,

impl<D> Mode<Matrix<f64, D, Const<1>, <DefaultAllocator as Allocator<D>>::Buffer<f64>>> for MultivariateStudent<D>where D: Dim, DefaultAllocator: Allocator<D> + Allocator<D, D>,

Trait Mode

impl<D> Mode<Matrix<f64, D, Const<1>, <DefaultAllocator as Allocator<D>>::Buffer<f64>>> for MultivariateNormal<D>
where D: Dim, DefaultAllocator: Allocator<D> + Allocator<D, D>,

impl<D> Mode<Matrix<f64, D, Const<1>, <DefaultAllocator as Allocator<D>>::Buffer<f64>>> for MultivariateStudent<D>
where D: Dim, DefaultAllocator: Allocator<D> + Allocator<D, D>,