Struct ndarray_rand::rand_distr::StudentT

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

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>,

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

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F> Debug for StudentT<F>

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

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>,

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.

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

where R: Rng, Self: Sized,

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

fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S>

where F: Fn(T) -> S, Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of Self through the closure F

impl<F> Copy for StudentT<F>

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