Struct Beta 

pub struct Beta { /* private fields */ }

A beta distribution.

Implementations

impl Beta

pub fn new(alpha: f64, beta: f64, a: f64, b: f64) -> Self

Create a beta distribution with shape parameters alpha and beta on interval [a, b].

It should hold that alpha > 0, beta > 0, and a < b.

pub fn alpha(&self) -> f64

Return the first shape parameter.

pub fn beta(&self) -> f64

Return the second shape parameter.

pub fn a(&self) -> f64

Return the left endpoint of the support.

pub fn b(&self) -> f64

Return the right endpoint of the support.

Trait Implementations

impl Clone for Beta

fn clone(&self) -> Beta

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Continuous for Beta

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

Compute the probability density function.

impl Debug for Beta

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

Formats the value using the given formatter.

impl Distribution for Beta

type Value = f64

The type of outcomes.

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

Compute the cumulative distribution function.

impl Entropy for Beta

fn entropy(&self) -> f64

Compute the differential entropy.

impl Inverse for Beta

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

Compute the inverse of the cumulative distribution function.

impl Kurtosis for Beta

fn kurtosis(&self) -> f64

Compute the excess kurtosis.

impl Mean for Beta

fn mean(&self) -> f64

Compute the expected value.

impl Median for Beta

fn median(&self) -> f64

Compute the median.

impl Modes for Beta

fn modes(&self) -> Vec<f64>

Compute the modes.

impl Sample for Beta

fn sample<S>(&self, source: &mut S) -> f64

where S: Source,

Draw a sample.

impl Skewness for Beta

fn skewness(&self) -> f64

Compute the skewness.

impl Variance for Beta

fn variance(&self) -> f64

Compute the variance.

fn deviation(&self) -> f64

Compute the standard deviation.

impl Copy for Beta