Struct rstat::univariate::normal::Normal

pub struct Normal(_);

Methods

impl UvNormal

pub fn new(mu: f64, sigma2: f64) -> Result<UvNormal, Error>

pub fn new_unchecked(mu: f64, sigma2: f64) -> UvNormal

pub fn standard() -> UvNormal

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

pub fn precision(&self) -> f64

pub fn width(&self) -> f64

Trait Implementations

impl Clone for UvNormal

fn clone(&self) -> UvNormal

Returns a copy of the value.

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

Performs copy-assignment from source.

impl ContinuousDistribution for UvNormal

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 Convolution<UvNormal> for UvNormal

type Output = UvNormal

The resulting Distribution type.

fn convolve(self, rv: UvNormal) -> Result<UvNormal, Error>

Return the unweighted linear sum of self with another Distribution of type T.

fn convolve_many(self, rvs: Vec<T>) -> Result<Self::Output, Error> where
    Self::Output: Convolution<T, Output = Self::Output>,
    Self: Sized, 

Return the unweighted linear sum of self with a set of Distributions of type T.

impl Copy for UvNormal

impl Debug for UvNormal

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

Formats the value using the given formatter.

impl Display for UvNormal

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

Formats the value using the given formatter.

impl Distribution for UvNormal

type Support = Reals

Support of sample elements.

type Params = UvNormalParams

Parameter set uniquely defining the instance.

fn support(&self) -> Reals

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

fn params(&self) -> 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 FisherInformation for UvNormal

fn fisher_information(&self) -> Array2<f64>

Computes the Fisher information matrix of the distribution, (I(X)).

impl From<Params<f64, f64>> for UvNormal

fn from(from: UvNormalParams) -> UvNormal

Performs the conversion.

impl Likelihood for UvNormal

fn log_likelihood(&self, samples: &[f64]) -> f64

Computes the log-likelihood (l(\theta \mid \bm{x})).

fn likelihood(&self, samples: &[Sample<Self>]) -> f64

Computes the likelihood (\mathcal{L}(\theta \mid \bm{x})).

impl MLE for UvNormal

fn fit_mle(xs: &[f64]) -> Result<Self, Error>

impl Modes for UvNormal

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

Computes the mode(s) of the distribution.

impl Quantiles for UvNormal

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

Evaluates the inverse cumulative distribution function (CDF) at p.

fn median(&self) -> f64

Computes the median value of the distribution, Q(0.5).

fn cquantile(&self, p: Probability) -> f64

Evaluates the complementary quantile function at x: Q(1 - p).

fn lower_quartile(&self) -> f64

Computes the lower quartile of the distribution, Q(0.25).

fn upper_quartile(&self) -> f64

Computes the upper quartile of the distribution, Q(0.75).

fn iqr(&self) -> f64

Computes the interquartile range (IQR) of the distribution, Q(0.75) - Q(0.25).

fn lower_fence(&self) -> f64

Computes the lower fence of the distribution, Q(0.25) - 1.5 · IQR.

fn upper_fence(&self) -> f64

Computes the lower fence of the distribution, Q(0.75) + 1.5 · IQR.

impl Score for UvNormal

type Grad = UvNormalGrad

fn score(&self, samples: &[f64]) -> UvNormalGrad

Computes the score function (s(\theta) = \frac{\partial l(\theta \mid \bm{x})}{\partial \theta}).

impl ShannonEntropy for UvNormal

fn shannon_entropy(&self) -> f64

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

impl UnivariateMoments for UvNormal

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 kurtosis(&self) -> f64

Computes the kurtosis 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.