Struct rv::dist::Gamma

pub struct Gamma { /* fields omitted */ }

Gamma distribution G(α, β) over x in (0, ∞).

NOTE: The gamma distribution is parameterized in terms of shape, α, and rate, β.

            β^α
f(x|α, β) = ----  x^(α-1) e^(-βx)
            Γ(α)

Methods

impl Gamma

pub fn set_shape(&mut self, val: f64) -> &mut Self

pub fn set_rate(&mut self, val: f64) -> &mut Self

impl Gamma

pub fn new(shape: f64, rate: f64) -> Result<Self>

Create a new Gamma distribution with shape (α) and rate (β).

pub fn new_unchecked(shape: f64, rate: f64) -> Self

Creates a new Gamma without checking whether the parameters are valid.

pub fn shape(&self) -> f64

Get the shape parameter

Example

let gam = Gamma::new(2.0, 1.0).unwrap();
assert_eq!(gam.shape(), 2.0);

pub fn rate(&self) -> f64

Get the rate parameter

Example

let gam = Gamma::new(2.0, 1.0).unwrap();
assert_eq!(gam.rate(), 1.0);

Trait Implementations

impl Rv<f32> for Gamma

fn ln_f(&self, x: &f32) -> f64

Probability function

fn draw<R: Rng>(&self, rng: &mut R) -> f32

Single draw from the Rv

fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<f32>

Multiple draws of the Rv

fn f(&self, x: &X) -> f64

Probability function

impl Rv<f64> for Gamma

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

Probability function

fn draw<R: Rng>(&self, rng: &mut R) -> f64

Single draw from the Rv

fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<f64>

Multiple draws of the Rv

fn f(&self, x: &X) -> f64

Probability function

impl Rv<Poisson> for Gamma

fn ln_f(&self, x: &Poisson) -> f64

Probability function

fn draw<R: Rng>(&self, rng: &mut R) -> Poisson

Single draw from the Rv

fn f(&self, x: &X) -> f64

Probability function

fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<X>

Multiple draws of the Rv

impl Support<f32> for Gamma

fn supports(&self, x: &f32) -> bool

Returns true if x is in the support of the Rv

impl Support<f64> for Gamma

fn supports(&self, x: &f64) -> bool

Returns true if x is in the support of the Rv

impl Support<Poisson> for Gamma

fn supports(&self, x: &Poisson) -> bool

Returns true if x is in the support of the Rv

impl ContinuousDistr<f32> for Gamma

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

The value of the Probability Density Function (PDF) at x

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

The value of the log Probability Density Function (PDF) at x

impl ContinuousDistr<f64> for Gamma

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

The value of the Probability Density Function (PDF) at x

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

The value of the log Probability Density Function (PDF) at x

impl ContinuousDistr<Poisson> for Gamma

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

The value of the Probability Density Function (PDF) at x

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

The value of the log Probability Density Function (PDF) at x

impl Cdf<f32> for Gamma

fn cdf(&self, x: &f32) -> f64

The value of the Cumulative Density Function at x

fn sf(&self, x: &X) -> f64

Survival function, 1 - CDF(x)

impl Cdf<f64> for Gamma

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

The value of the Cumulative Density Function at x

fn sf(&self, x: &X) -> f64

Survival function, 1 - CDF(x)

impl Mean<f32> for Gamma

fn mean(&self) -> Option<f32>

Returns None if the mean is undefined

impl Mean<f64> for Gamma

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

Returns None if the mean is undefined

impl Mode<f32> for Gamma

fn mode(&self) -> Option<f32>

Returns None if the mode is undefined or is not a single value

impl Mode<f64> for Gamma

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

Returns None if the mode is undefined or is not a single value

impl Variance<f64> for Gamma

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

Returns None if the variance is undefined

impl Entropy for Gamma

fn entropy(&self) -> f64

The entropy, H(X)

impl Skewness for Gamma

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

impl Kurtosis for Gamma

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

impl ConjugatePrior<u8, Poisson> for Gamma

type Posterior = Self

fn posterior(&self, x: &DataOrSuffStat<u8, Poisson>) -> Self

Computes the posterior distribution from the data

fn ln_m(&self, x: &DataOrSuffStat<u8, Poisson>) -> f64

Log marginal likelihood

fn ln_pp(&self, y: &u8, x: &DataOrSuffStat<u8, Poisson>) -> f64

Log posterior predictive of y given x

fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64

Marginal likelihood of x

fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64

Posterior Predictive distribution

impl ConjugatePrior<u16, Poisson> for Gamma

type Posterior = Self

fn posterior(&self, x: &DataOrSuffStat<u16, Poisson>) -> Self

Computes the posterior distribution from the data

fn ln_m(&self, x: &DataOrSuffStat<u16, Poisson>) -> f64

Log marginal likelihood

fn ln_pp(&self, y: &u16, x: &DataOrSuffStat<u16, Poisson>) -> f64

Log posterior predictive of y given x

fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64

Marginal likelihood of x

fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64

Posterior Predictive distribution

impl ConjugatePrior<u32, Poisson> for Gamma

type Posterior = Self

fn posterior(&self, x: &DataOrSuffStat<u32, Poisson>) -> Self

Computes the posterior distribution from the data

fn ln_m(&self, x: &DataOrSuffStat<u32, Poisson>) -> f64

Log marginal likelihood

fn ln_pp(&self, y: &u32, x: &DataOrSuffStat<u32, Poisson>) -> f64

Log posterior predictive of y given x

fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64

Marginal likelihood of x

fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64

Posterior Predictive distribution

impl<'_> From<&'_ Gamma> for String

fn from(gam: &Gamma) -> String

Performs the conversion.

impl Clone for Gamma

fn clone(&self) -> Gamma

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Default for Gamma

fn default() -> Self

Returns the "default value" for a type.

impl PartialEq<Gamma> for Gamma

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

This method tests for self and other values to be equal, and is used by ==.

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

This method tests for !=.

impl PartialOrd<Gamma> for Gamma

fn partial_cmp(&self, other: &Gamma) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

fn lt(&self, other: &Gamma) -> bool

This method tests less than (for self and other) and is used by the < operator.

fn le(&self, other: &Gamma) -> bool

This method tests less than or equal to (for self and other) and is used by the <= operator.

fn gt(&self, other: &Gamma) -> bool

This method tests greater than (for self and other) and is used by the > operator.

fn ge(&self, other: &Gamma) -> bool

This method tests greater than or equal to (for self and other) and is used by the >= operator.

impl Display for Gamma

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

Formats the value using the given formatter.

impl Debug for Gamma

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

Formats the value using the given formatter.