Enum Innovations 

pub enum Innovations {
    Gaussian,
    StudentT {
        df: u32,
    },
}

Innovation distribution.

Variants

Gaussian

Standard normal.

StudentT

Student t with df degrees of freedom (df >= 1), sampled as Z / sqrt(χ²_df / df). Not rescaled to unit variance (which is df/(df-2) for df > 2); every statistic and criterion in the crate is scale-invariant, so only the tail weight matters.

Fields

df: u32

Trait Implementations

impl Clone for Innovations

fn clone(&self) -> Innovations

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for Innovations

impl Debug for Innovations

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

Formats the value using the given formatter.

impl PartialEq for Innovations

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

Equality operator ==.

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

Inequality operator !=.

impl StructuralPartialEq for Innovations