Struct Distribution 

pub struct Distribution(/* private fields */);

A probability distribution, whose constructor checked its parameters.

Implementations

impl Distribution

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

The density at x, or for a discrete distribution the probability of x.

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

The probability of a value at most x.

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

The least x whose cdf is at least p. p outside 0 to 1 gives NaN.

pub fn words(&self) -> usize

The words that one attempt of a draw reads, which each item of samples packs (random::Items).

pub fn samples(&self, items: &mut Items, out: &mut [f64])

Fills out with values drawn from the distribution, one for each item of items, which packs this distribution’s words. A normal distribution’s item gives two values, from one pair of uniform words.

pub fn is_discrete(&self) -> bool

Whether the distribution’s values are whole numbers.

impl Distribution

pub fn normal(mean: f64, sd: f64) -> Result<Distribution, Invalid>

The normal distribution with this mean and standard deviation.

pub fn uniform(min: f64, max: f64) -> Result<Distribution, Invalid>

The uniform distribution from min to max.

pub fn beta(a: f64, b: f64) -> Result<Distribution, Invalid>

The beta distribution with shapes a and b.

pub fn cauchy(location: f64, scale: f64) -> Result<Distribution, Invalid>

The Cauchy distribution with this location and scale.

pub fn chi_squared(df: f64) -> Result<Distribution, Invalid>

The chi-squared distribution with df degrees of freedom: the gamma distribution with shape df/2 and scale 2.

pub fn exponential(rate: f64) -> Result<Distribution, Invalid>

The exponential distribution with this rate.

pub fn fisher(df1: f64, df2: f64) -> Result<Distribution, Invalid>

The F distribution with df1 and df2 degrees of freedom.

pub fn gamma(shape: f64, scale: f64) -> Result<Distribution, Invalid>

The gamma distribution with this shape and scale.

pub fn inverse_gamma(shape: f64, scale: f64) -> Result<Distribution, Invalid>

The inverse gamma distribution with this shape and scale.

pub fn laplace(location: f64, scale: f64) -> Result<Distribution, Invalid>

The Laplace distribution with this location and scale.

pub fn logistic(location: f64, scale: f64) -> Result<Distribution, Invalid>

The logistic distribution with this location and scale.

pub fn log_normal(location: f64, scale: f64) -> Result<Distribution, Invalid>

The log-normal distribution whose logarithm has this mean, the location, and this standard deviation, the scale.

pub fn student_t(df: f64) -> Result<Distribution, Invalid>

Student’s t distribution with df degrees of freedom.

pub fn weibull(shape: f64, scale: f64) -> Result<Distribution, Invalid>

The Weibull distribution with this shape and scale.

pub fn binomial(n: u64, p: f64) -> Result<Distribution, Invalid>

The binomial distribution of the successes in n trials, each with probability p.

pub fn poisson(rate: f64) -> Result<Distribution, Invalid>

The Poisson distribution with this rate.

Trait Implementations

impl Clone for Distribution

fn clone(&self) -> Distribution

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for Distribution

impl Debug for Distribution

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

Formats the value using the given formatter.

impl PartialEq for Distribution

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

Equality operator ==.

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

Inequality operator !=.

impl StructuralPartialEq for Distribution