Struct probability::distribution::Logistic

pub struct Logistic { /* fields omitted */ }

A logistic distribution.

Implementations

impl Logistic

pub fn new(mu: f64, s: f64) -> Self

Create a logistic distribution with location mu and scale s.

It should hold that s > 0.

pub fn mu(&self) -> f64

Return the location parameter.

pub fn s(&self) -> f64

Return the scale parameter.

Trait Implementations

impl Clone for Logistic

fn clone(&self) -> Logistic

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Continuous for Logistic

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

Compute the probability density function.

impl Copy for Logistic

impl Debug for Logistic

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

Formats the value using the given formatter.

impl Default for Logistic

fn default() -> Self

Returns the “default value” for a type.

impl Distribution for Logistic

type Value = f64

The type of outcomes.

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

Compute the cumulative distribution function.

impl Entropy for Logistic

fn entropy(&self) -> f64

Compute the differential entropy.

impl Inverse for Logistic

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

Compute the inverse of the cumulative distribution function.

impl Kurtosis for Logistic

fn kurtosis(&self) -> f64

Compute the excess kurtosis.

impl Mean for Logistic

fn mean(&self) -> f64

Compute the expected value.

impl Median for Logistic

fn median(&self) -> f64

Compute the median.

impl Modes for Logistic

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

Compute the modes.

impl Sample for Logistic

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

Draw a sample.

impl Skewness for Logistic

fn skewness(&self) -> f64

Compute the skewness.

impl Variance for Logistic

fn variance(&self) -> f64

Compute the variance.

fn deviation(&self) -> f64

Compute the standard deviation.