Struct ndarray_rand::rand_distr::StudentT

pub struct StudentT<F> where
    F: Float,
    StandardNormal: Distribution<F>,
    Exp1: Distribution<F>,
    Open01: Distribution<F>,  { /* fields omitted */ }

The Student t distribution, t(nu), where nu is the degrees of freedom.

Example

use rand_distr::{StudentT, Distribution};

let t = StudentT::new(11.0).unwrap();
let v = t.sample(&mut rand::thread_rng());
println!("{} is from a t(11) distribution", v)

Implementations

impl<F> StudentT<F> where
    F: Float,
    StandardNormal: Distribution<F>,
    Exp1: Distribution<F>,
    Open01: Distribution<F>, 

pub fn new(n: F) -> Result<StudentT<F>, ChiSquaredError>

Create a new Student t distribution with n degrees of freedom.

Trait Implementations

impl<F> Clone for StudentT<F> where
    F: Clone + Float,
    StandardNormal: Distribution<F>,
    Exp1: Distribution<F>,
    Open01: Distribution<F>, 

pub fn clone(&self) -> StudentT<F>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F> Copy for StudentT<F> where
    F: Copy + Float,
    StandardNormal: Distribution<F>,
    Exp1: Distribution<F>,
    Open01: Distribution<F>, 

impl<F> Debug for StudentT<F> where
    F: Debug + Float,
    StandardNormal: Distribution<F>,
    Exp1: Distribution<F>,
    Open01: Distribution<F>, 

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

Formats the value using the given formatter.

impl<F> Distribution<F> for StudentT<F> where
    F: Float,
    StandardNormal: Distribution<F>,
    Exp1: Distribution<F>,
    Open01: Distribution<F>, 

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

Generate a random value of T, using rng as the source of randomness.

pub fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng, 

Create an iterator that generates random values of T, using rng as the source of randomness.