Struct rand_distr::ChiSquared
source · [−]pub struct ChiSquared<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>, { /* private fields */ }
Expand description
The chi-squared distribution χ²(k)
, where k
is the degrees of
freedom.
For k > 0
integral, this distribution is the sum of the squares
of k
independent standard normal random variables. For other
k
, this uses the equivalent characterisation
χ²(k) = Gamma(k/2, 2)
.
Example
use rand_distr::{ChiSquared, Distribution};
let chi = ChiSquared::new(11.0).unwrap();
let v = chi.sample(&mut rand::thread_rng());
println!("{} is from a χ²(11) distribution", v)
Implementations
sourceimpl<F> ChiSquared<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
impl<F> ChiSquared<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
sourcepub fn new(k: F) -> Result<ChiSquared<F>, ChiSquaredError>
pub fn new(k: F) -> Result<ChiSquared<F>, ChiSquaredError>
Create a new chi-squared distribution with degrees-of-freedom
k
.
Trait Implementations
sourceimpl<F: Clone> Clone for ChiSquared<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
impl<F: Clone> Clone for ChiSquared<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
sourcefn clone(&self) -> ChiSquared<F>
fn clone(&self) -> ChiSquared<F>
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
sourceimpl<F: Debug> Debug for ChiSquared<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
impl<F: Debug> Debug for ChiSquared<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
sourceimpl<F> Distribution<F> for ChiSquared<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
impl<F> Distribution<F> for ChiSquared<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
sourcefn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> F
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> F
Generate a random value of T
, using rng
as the source of randomness.
sourcefn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable traits for DistIter<D, R, T>impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;
where
R: Rng,
fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable traits for DistIter<D, R, T>impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;
where
R: Rng,
D: Distribution<T>,
R: Rng, type Item = T;
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl<F: Copy> Copy for ChiSquared<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
Auto Trait Implementations
impl<F> RefUnwindSafe for ChiSquared<F> where
F: RefUnwindSafe,
impl<F> Send for ChiSquared<F> where
F: Send,
impl<F> Sync for ChiSquared<F> where
F: Sync,
impl<F> Unpin for ChiSquared<F> where
F: Unpin,
impl<F> UnwindSafe for ChiSquared<F> where
F: UnwindSafe,
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcepub fn borrow_mut(&mut self) -> &mut T
pub fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcepub fn to_owned(&self) -> T
pub fn to_owned(&self) -> T
Creates owned data from borrowed data, usually by cloning. Read more
sourcepub fn clone_into(&self, target: &mut T)
pub fn clone_into(&self, target: &mut T)
toowned_clone_into
)Uses borrowed data to replace owned data, usually by cloning. Read more