Struct FDist

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

Implementations

impl FDist

pub fn new(d1: usize, d2: usize) -> Result<FDist, Error>

pub fn new_unchecked(d1: usize, d2: usize) -> FDist

Trait Implementations

impl Clone for FDist

fn clone(&self) -> FDist

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl ContinuousDistribution for FDist

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

Evaluates the probability density function (PDF) at \(x\).

fn log_pdf(&self, x: &Sample<Self>) -> f64

Evaluates the log PDF at \(x\).

impl Debug for FDist

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

Formats the value using the given formatter.

impl Display for FDist

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

Formats the value using the given formatter.

impl Distribution for FDist

type Support = PositiveReals

Support of sample elements.

type Params = Params

Parameter set uniquely defining the instance.

fn support(&self) -> PositiveReals

Returns an instance of the support Space, Self::Support.

fn params(&self) -> Params

Returns an instance of the distribution parameters, Self::Params.

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

Evaluates the cumulative distribution function (CDF) at \(x\).

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64

Draw a random value from the distribution support.

fn into_support(self) -> Self::Support

Converts self into an instance of Self::Support.

fn into_params(self) -> Self::Params

Converts self into an instance of Self::Params.

fn ccdf(&self, x: &Sample<Self>) -> Probability

Evaluates the complementary CDF at \(x\).

fn log_cdf(&self, x: &Sample<Self>) -> f64

Evaluates the log CDF at \(x\), i.e. \(\ln{F(x)}\).

fn log_ccdf(&self, x: &Sample<Self>) -> f64

Evaluates the log complementary CDF at \(x\), i.e. \(\ln{(1 - F(x))}\).

fn sample_n<R: Rng + ?Sized>(&self, rng: &mut R, n: usize) -> Vec<Sample<Self>>

Draw n random value from the distribution support.

fn sample_iter<'a, R: Rng + ?Sized>( &'a self, rng: &'a mut R, ) -> Sampler<'a, Self, R>

Draw an indefinite number of random values from the distribution support.

impl From<Params> for FDist

fn from(from: Params) -> FDist

Converts to this type from the input type.

impl Modes for FDist

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

Computes the mode(s) of the distribution.

impl ShannonEntropy for FDist

fn shannon_entropy(&self) -> f64

Computes the Shannon entropy of the distribution, \(H(X)\).

impl UnivariateMoments for FDist

fn mean(&self) -> f64

Computes the expected value of the distribution.

fn variance(&self) -> f64

Computes the variance of the distribution.

fn skewness(&self) -> f64

Computes the skewness of the distribution.

fn excess_kurtosis(&self) -> f64

Computes the excess kurtosis of the distribution.

fn standard_deviation(&self) -> f64

Computes the standard deviation of the distribution.

fn kurtosis(&self) -> f64

Computes the kurtosis of the distribution.