Struct TDistribution 

pub struct TDistribution {
    pub degrees_of_freedom: i64,
    pub distribution_name: String,
    pub description: String,
}

Parameters of a Student’s t distribution.

A symmetric, heavier-tailed analogue of the normal used for inference on means from small samples; converges to the normal as the degrees of freedom grow.

Fields

degrees_of_freedom: i64

Degrees of freedom ν; must be ≥ 1.

distribution_name: String

Optional human-readable name; unused by the numerics, defaults to empty.

description: String

Optional human-readable description; unused by the numerics, defaults to empty.

Trait Implementations

impl Cdf for TDistribution

fn cdf(&self, x: f64) -> f64

Evaluates the cumulative distribution function at x.

impl Clone for TDistribution

fn clone(&self) -> TDistribution

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TDistribution

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

Formats the value using the given formatter.

impl Default for TDistribution

fn default() -> TDistribution

Returns the “default value” for a type.

impl LogCdf for TDistribution

fn logsf(&self, x: f64) -> f64

Evaluates the natural log of the survival function, ln P(X > x).

fn logcdf(&self, x: f64) -> f64

Evaluates the natural log of the CDF, ln P(X ≤ x).

impl Moments for TDistribution

fn mean(&self) -> Option<f64>

Returns the theoretical mean, or None if it is undefined.

fn variance(&self) -> Option<f64>

Returns the theoretical variance, or None if it is undefined.

impl Pdf for TDistribution

fn pdf(&self, x: f64) -> f64

Evaluates the probability density function at x.

impl Quantile for TDistribution

fn quantile(&self, p: f64) -> f64

Evaluates the quantile (inverse CDF) at probability p.

impl Sample for TDistribution

fn sample(&self, rng: &mut SplitMix64) -> f64

Draws one variate, advancing rng.