Struct LogNormalDistribution 

pub struct LogNormalDistribution {
    pub mean_log_value: f64,
    pub std_log_value: f64,
    pub distribution_name: String,
    pub description: String,
}

Parameters of a log-normal distribution.

The distribution of a variable whose natural logarithm is normally distributed; supported on (0, ∞) and parameterised on the log scale.

Fields

mean_log_value: f64

Mean μ of the underlying normal on the log scale.

std_log_value: f64

Standard deviation σ of the underlying normal on the log scale; > 0.

distribution_name: String

Optional human-readable name; unused by the numerics, defaults to empty.

description: String

Optional human-readable description; unused by the numerics, defaults to empty.

Trait Implementations

impl Cdf for LogNormalDistribution

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

Evaluates the cumulative distribution function at x.

impl Clone for LogNormalDistribution

fn clone(&self) -> LogNormalDistribution

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LogNormalDistribution

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

Formats the value using the given formatter.

impl Default for LogNormalDistribution

fn default() -> LogNormalDistribution

Returns the “default value” for a type.

impl Moments for LogNormalDistribution

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

Returns the theoretical mean, or None if it is undefined.

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

Returns the theoretical variance, or None if it is undefined.

impl Pdf for LogNormalDistribution

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

Evaluates the probability density function at x.

impl Quantile for LogNormalDistribution

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

Evaluates the quantile (inverse CDF) at probability p.

impl Sample for LogNormalDistribution

fn sample(&self, rng: &mut SplitMix64) -> f64

Draws one variate, advancing rng.