Struct compute::distributions::Beta

pub struct Beta { /* fields omitted */ }

Implements the Beta distribution.

Implementations

impl Beta

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

Create a new Beta distribution with parameters alpha and beta.

Errors

Panics if alpha <= 0 or beta <= 0.

pub fn set_alpha(&mut self, alpha: f64) -> &mut Self

pub fn set_beta(&mut self, beta: f64) -> &mut Self

Trait Implementations

impl Clone for Beta

fn clone(&self) -> Beta

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Continuous for Beta

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

Calculates the probability density function for the given Beta function at x.

Remarks

Returns 0. if x is not in [0, 1]

type PDFType = f64

fn ln_pdf(&self, x: Self::PDFType) -> f64

impl Debug for Beta

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

Formats the value using the given formatter.

impl Default for Beta

fn default() -> Self

Returns the “default value” for a type.

impl Distribution for Beta

fn sample(&self) -> f64

Samples from the given Beta distribution using the Gamma distribution.

type Output = f64

impl Distribution1D for Beta

fn update(&mut self, params: &[f64])

Update the parameters of the distribution.

fn sample_n(&self, n: usize) -> Vector

Generates a vector of n randomly sampled values from the given probability distribution.

fn sample_matrix(&self, nrows: usize, ncols: usize) -> Matrix

Generates a matrix of size n x m with values randomly sampled from the given distribution.

impl Mean for Beta

fn mean(&self) -> f64

Returns the mean of the beta distribution, which for a B(a, b) distribution is given by a / (a + b).

type MeanType = f64

impl Variance for Beta

fn var(&self) -> f64

Returns the variance of the beta distribution.

type VarianceType = f64

impl Copy for Beta