Enum Dispersion 

pub enum Dispersion {
    Known(f64),
    Estimated(f64),
}

Dispersion contract used by inferential covariance and reference distributions.

Known(phi) is used for fixed-scale exponential-family fits such as Poisson and Binomial (phi = 1). Estimated(phi) is used when the residual/likelihood scale is estimated from the data, e.g. Gaussian (phi = sigma^2) and Gamma (phi = 1 / shape). Stored covariance matrices are scaled by this phi.

Variants

Known(f64)

Estimated(f64)

Implementations

impl Dispersion

pub const fn phi(self) -> f64

pub const fn is_estimated(self) -> bool

Trait Implementations

impl Clone for Dispersion

fn clone(&self) -> Dispersion

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for Dispersion

impl Debug for Dispersion

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for Dispersion

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Dispersion

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl DispersionExt for Dispersion

fn inv_phi(self) -> f64

fn sqrt_phi(self) -> f64

impl PartialEq for Dispersion

fn eq(&self, other: &Dispersion) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for Dispersion

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for Dispersion