Trait rv::traits::Mode[−][src]

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

Defines the distribution mode

Required methods

fn mode(&self) -> Option<X>[src]

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

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Implementors

impl Mode<f32> for Beta[src]

impl Mode<f32> for Cauchy[src]

impl Mode<f32> for ChiSquared[src]

impl Mode<f32> for Exponential[src]

impl Mode<f32> for Gamma[src]

impl Mode<f32> for Gaussian[src]

impl Mode<f32> for Gev[src]

impl Mode<f32> for InvChiSquared[src]

impl Mode<f32> for InvGamma[src]

impl Mode<f32> for InvGaussian[src]

impl Mode<f32> for Kumaraswamy[src]

impl Mode<f32> for Laplace[src]

impl Mode<f32> for LogNormal[src]

impl Mode<f32> for Pareto[src]

impl Mode<f32> for ScaledInvChiSquared[src]

impl Mode<f32> for StudentsT[src]

impl Mode<f32> for VonMises[src]

impl Mode<f64> for Beta[src]

impl Mode<f64> for Cauchy[src]

impl Mode<f64> for ChiSquared[src]

impl Mode<f64> for Exponential[src]

impl Mode<f64> for Gamma[src]

impl Mode<f64> for Gaussian[src]

impl Mode<f64> for Gev[src]

impl Mode<f64> for InvChiSquared[src]

impl Mode<f64> for InvGamma[src]

impl Mode<f64> for InvGaussian[src]

impl Mode<f64> for Kumaraswamy[src]

impl Mode<f64> for Laplace[src]

impl Mode<f64> for LogNormal[src]

impl Mode<f64> for Pareto[src]

impl Mode<f64> for ScaledInvChiSquared[src]

impl Mode<f64> for StudentsT[src]

impl Mode<f64> for VonMises[src]

impl Mode<(u8, u8)> for Poisson[src]

impl Mode<(u16, u16)> for Poisson[src]

impl Mode<(u32, u32)> for Poisson[src]

impl Mode<u8> for Poisson[src]

impl Mode<u16> for Poisson[src]

impl Mode<u32> for Poisson[src]

impl Mode<Matrix<f64, Dynamic, Dynamic, <DefaultAllocator as Allocator<f64, Dynamic, Dynamic>>::Buffer>> for InvWishart[src]

impl Mode<Matrix<f64, Dynamic, U1, VecStorage<f64, Dynamic, U1>>> for MvGaussian[src]

impl<Fx, X> Mode<X> for Fx where
    Fx: Deref,
    Fx::Target: Mode<X>, [src]

impl<X: Booleable> Mode<X> for Bernoulli[src]

impl<X: CategoricalDatum> Mode<X> for Categorical[src]

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