Struct rstat::continuous::Triangular

pub struct Triangular {
    pub a: f64,
    pub b: f64,
    pub c: f64,
}

Fields

a: f64

b: f64

c: f64

Methods

impl Triangular

pub fn new(a: f64, b: f64, c: f64) -> Triangular

pub fn symmetric(a: f64, b: f64) -> Triangular

Trait Implementations

impl Distribution for Triangular

type Support = Interval

fn support(&self) -> Interval

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

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

Evaluates the cumulative distribution function (CDF) at x.

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

fn ccdf(&self, x: <Self::Support as Space>::Value) -> Probability

Evaluates the complementary cumulative distribution function at x.

fn logcdf(&self, x: <Self::Support as Space>::Value) -> f64

Evaluates the log CDF at x: ln F(x).

fn logccdf(&self, x: <Self::Support as Space>::Value) -> f64

Evaluates the log complementary CDF at x: ln (1 - F(x)).

fn cdf_batch(
    &self,
    xs: Vector<<Self::Support as Space>::Value>
) -> Vector<Probability>

Evaluates the CDF element-wise for a batch xs.

fn ccdf_batch(
    &self,
    xs: Vector<<Self::Support as Space>::Value>
) -> Vector<Probability>

Evaluates the complementary CDF element-wise for a batch xs.

fn logcdf_batch(
    &self,
    xs: Vector<<Self::Support as Space>::Value>
) -> Vector<f64>

Evaluates the log CDF element-wise for a batch xs.

fn logccdf_batch(
    &self,
    xs: Vector<<Self::Support as Space>::Value>
) -> Vector<f64>

Evaluates the log complementary CDF element-wise for a batch xs.

fn sample_n<D, Sh, R: ?Sized>(
    &self,
    rng: &mut R,
    shape: Sh
) -> Array<<Self::Support as Space>::Value, D> where
    D: Dimension,
    Sh: ShapeBuilder<Dim = D>,
    R: Rng, 

Important traits for Sampler<D, R>

impl<D, R> Iterator for Sampler<D, R> where
    D: Distribution,
    R: Rng,  type Item = <D::Support as Space>::Value;

fn sample_iter<R>(self, rng: R) -> Sampler<Self, R> where
    Self: Sized,
    R: Rng, 

impl ContinuousDistribution for Triangular

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

Evaluates the probability density function (PDF) at x.

fn logpdf(&self, x: <Self::Support as Space>::Value) -> f64

Evaluates the log PDF at x.

fn pdf_batch(
    &self,
    xs: Vector<<Self::Support as Space>::Value>
) -> Vector<Probability>

Evaluates the PDF element-wise for a batch xs.

fn logpdf_batch(
    &self,
    xs: Vector<<Self::Support as Space>::Value>
) -> Vector<f64>

Evaluates the log PDF element-wise for a batch xs.

fn loglikelihood(&self, xs: Vector<<Self::Support as Space>::Value>) -> f64

impl UnivariateMoments for Triangular

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.

impl Quantiles for Triangular

fn quantile(&self, _: 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 Modes for Triangular

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

Computes the mode(s) of the distribution.

impl Entropy for Triangular

fn entropy(&self) -> f64

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

impl Clone for Triangular

fn clone(&self) -> Triangular

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Copy for Triangular

impl Display for Triangular

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

Formats the value using the given formatter.

impl Debug for Triangular

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

Formats the value using the given formatter.