Struct probability::distribution::Gamma

pub struct Gamma { /* fields omitted */ }

A gamma distribution.

Implementations

impl Gamma

pub fn new(k: f64, theta: f64) -> Self

Create a gamma distribution with shape parameter k and scale parameter theta.

It should hold that k > 0 and theta > 0.

pub fn k(&self) -> f64

Return the shape parameter.

pub fn theta(&self) -> f64

Return the scale parameter.

Trait Implementations

impl Clone for Gamma

fn clone(&self) -> Gamma

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Continuous for Gamma

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

Compute the probability density function.

impl Copy for Gamma

impl Debug for Gamma

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

Formats the value using the given formatter.

impl Distribution for Gamma

type Value = f64

The type of outcomes.

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

Compute the cumulative distribution function.

impl Entropy for Gamma

fn entropy(&self) -> f64

Compute the differential entropy.

impl Kurtosis for Gamma

fn kurtosis(&self) -> f64

Compute the excess kurtosis.

impl Mean for Gamma

fn mean(&self) -> f64

Compute the expected value.

impl Modes for Gamma

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

Compute the modes.

impl Sample for Gamma

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

Draw a sample.

References

1. G. Marsaglia and W. W. Tsang, “A simple method for generating gamma variables,” ACM Transactions on Mathematical Software, vol. 26, no. 3, pp. 363–372, September 2000.

impl Skewness for Gamma

fn skewness(&self) -> f64

Compute the skewness.

impl Variance for Gamma

fn variance(&self) -> f64

Compute the variance.

fn deviation(&self) -> f64

Compute the standard deviation.