Trait rv::traits::Mode

pub trait Mode<X> {
    fn mode(&self) -> Option<X>;
}

Defines the distribution mode

Required Methods

fn mode(&self) -> Option<X>

Returns None if the mode is undefined or is not a single value

Implementors

• impl Mode<bool> for Bernoulli

• impl Mode<u8> for Bernoulli

• impl Mode<u16> for Bernoulli

• impl Mode<u32> for Bernoulli

• impl Mode<u64> for Bernoulli

• impl Mode<usize> for Bernoulli

• impl Mode<i8> for Bernoulli

• impl Mode<i16> for Bernoulli

• impl Mode<i32> for Bernoulli

• impl Mode<i64> for Bernoulli

• impl Mode<isize> for Bernoulli

• impl Mode<f32> for Beta

• impl Mode<f64> for Beta

• impl<X: CategoricalDatum> Mode<X> for Categorical

• impl Mode<f64> for Cauchy

• impl Mode<f32> for Cauchy

• impl Mode<f64> for ChiSquared

• impl Mode<f32> for ChiSquared

• impl Mode<f64> for Exponential

• impl Mode<f32> for Exponential

• impl Mode<f32> for Gamma

• impl Mode<f64> for Gamma

• impl Mode<f32> for Gaussian

• impl Mode<f64> for Gaussian

• impl Mode<f32> for Gev

• impl Mode<f64> for Gev

• impl Mode<f32> for InvGamma

• impl Mode<f64> for InvGamma

• impl Mode<f64> for Laplace

• impl Mode<f32> for Laplace

• impl Mode<f32> for LogNormal

• impl Mode<f64> for LogNormal

• impl Mode<DVector<f64>> for MvGaussian

• impl Mode<f32> for Pareto

• impl Mode<f64> for Pareto

• impl Mode<f64> for StudentsT

• impl Mode<f32> for StudentsT

• impl Mode<f32> for VonMises

• impl Mode<f64> for VonMises

• impl Mode<DMatrix<f64>> for InvWishart