Struct rand_distr::NormalInverseGaussian

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pub struct NormalInverseGaussian<F> where
    F: Float,
    StandardNormal: Distribution<F>,
    Standard: Distribution<F>,  { /* private fields */ }

Expand description

The normal-inverse Gaussian distribution

Implementations

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impl<F> NormalInverseGaussian<F> where
 F: Float,
 StandardNormal: Distribution<F>,
 Standard: Distribution<F>,

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pub fn new(alpha: F, beta: F) -> Result<NormalInverseGaussian<F>, Error>

Construct a new NormalInverseGaussian distribution with the given alpha (tail heaviness) and beta (asymmetry) parameters.

Trait Implementations

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impl<F: Clone> Clone for NormalInverseGaussian<F> where
 F: Float,
 StandardNormal: Distribution<F>,
 Standard: Distribution<F>,

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

Returns a copy of the value. Read more

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

Performs copy-assignment from source. Read more

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impl<F: Debug> Debug for NormalInverseGaussian<F> where
 F: Float,
 StandardNormal: Distribution<F>,
 Standard: Distribution<F>,

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

Formats the value using the given formatter. Read more

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impl<F> Distribution<F> for NormalInverseGaussian<F> where
 F: Float,
 StandardNormal: Distribution<F>,
 Standard: Distribution<F>,

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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.

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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,

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

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

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

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impl<F: Copy> Copy for NormalInverseGaussian<F> where
 F: Float,
 StandardNormal: Distribution<F>,
 Standard: Distribution<F>,

Auto Trait Implementations

impl<F> RefUnwindSafe for NormalInverseGaussian<F> where
F: RefUnwindSafe,

impl<F> Send for NormalInverseGaussian<F> where
F: Send,

impl<F> Sync for NormalInverseGaussian<F> where
F: Sync,

impl<F> Unpin for NormalInverseGaussian<F> where
F: Unpin,

impl<F> UnwindSafe for NormalInverseGaussian<F> where
F: UnwindSafe,

Blanket Implementations

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impl<T> Any for T where
T: 'static + ?Sized,

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pub fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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impl<T> Borrow<T> for T where
T: ?Sized,

const: unstable · source

pub fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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impl<T> BorrowMut<T> for T where
T: ?Sized,

const: unstable · source

pub fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

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impl<T> From<T> for T

const: unstable · source

pub fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into for T where
U: From<T>,

const: unstable · source

pub fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> ToOwned for T where
T: Clone,

type Owned = T

The resulting type after obtaining ownership.

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pub fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more

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pub fn clone_into(&self, target: &mut T)

🔬 This is a nightly-only experimental API. (toowned_clone_into)

Uses borrowed data to replace owned data, usually by cloning. Read more

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impl<T, U> TryFrom for T where
U: Into<T>,

type Error = Infallible

The type returned in the event of a conversion error.

const: unstable · source

pub fn try_from(value: U) -> Result<T, <T as TryFrom>::Error>

Performs the conversion.

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impl<T, U> TryInto for T where
U: TryFrom<T>,

type Error = >::Error

The type returned in the event of a conversion error.

const: unstable · source

pub fn try_into(self) -> Result<U, >::Error>

Performs the conversion.

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impl<V, T> VZip<V> for T where
V: MultiLane<T>,

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Struct rand_distr::NormalInverseGaussian

Implementations

impl<F> NormalInverseGaussian<F> where F: Float, StandardNormal: Distribution<F>, Standard: Distribution<F>,

pub fn new(alpha: F, beta: F) -> Result<NormalInverseGaussian<F>, Error>

Trait Implementations

impl<F: Clone> Clone for NormalInverseGaussian<F> where F: Float, StandardNormal: Distribution<F>, Standard: Distribution<F>,

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

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

impl<F: Debug> Debug for NormalInverseGaussian<F> where F: Float, StandardNormal: Distribution<F>, Standard: Distribution<F>,

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

impl<F> Distribution<F> for NormalInverseGaussian<F> where F: Float, StandardNormal: Distribution<F>, Standard: Distribution<F>,

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

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,

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

impl<F: Copy> Copy for NormalInverseGaussian<F> where F: Float, StandardNormal: Distribution<F>, Standard: Distribution<F>,

Auto Trait Implementations

impl<F> RefUnwindSafe for NormalInverseGaussian<F> where F: RefUnwindSafe,

impl<F> Send for NormalInverseGaussian<F> where F: Send,

impl<F> Sync for NormalInverseGaussian<F> where F: Sync,

impl<F> Unpin for NormalInverseGaussian<F> where F: Unpin,

impl<F> UnwindSafe for NormalInverseGaussian<F> where F: UnwindSafe,

Blanket Implementations

impl<T> Any for T where T: 'static + ?Sized,

pub fn type_id(&self) -> TypeId

impl<T> Borrow<T> for T where T: ?Sized,

pub fn borrow(&self) -> &T

impl<T> BorrowMut<T> for T where T: ?Sized,

pub fn borrow_mut(&mut self) -> &mut T

impl<T> From<T> for T

pub fn from(t: T) -> T

impl<T, U> Into<U> for T where U: From<T>,

pub fn into(self) -> U

impl<T> ToOwned for T where T: Clone,

type Owned = T

pub fn to_owned(&self) -> T

pub fn clone_into(&self, target: &mut T)

impl<T, U> TryFrom<U> for T where U: Into<T>,

type Error = Infallible

pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

impl<T, U> TryInto<U> for T where U: TryFrom<T>,

type Error = <U as TryFrom<T>>::Error

pub fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

impl<V, T> VZip<V> for T where V: MultiLane<T>,

pub fn vzip(self) -> V

impl<F> NormalInverseGaussian<F> where
F: Float,
StandardNormal: Distribution<F>,
Standard: Distribution<F>,

impl<F: Clone> Clone for NormalInverseGaussian<F> where
F: Float,
StandardNormal: Distribution<F>,
Standard: Distribution<F>,

impl<F: Debug> Debug for NormalInverseGaussian<F> where
F: Float,
StandardNormal: Distribution<F>,
Standard: Distribution<F>,

impl<F> Distribution<F> for NormalInverseGaussian<F> where
F: Float,
StandardNormal: Distribution<F>,
Standard: Distribution<F>,

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

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,

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

impl<F: Copy> Copy for NormalInverseGaussian<F> where
F: Float,
StandardNormal: Distribution<F>,
Standard: Distribution<F>,

impl<F> RefUnwindSafe for NormalInverseGaussian<F> where
F: RefUnwindSafe,

impl<F> Send for NormalInverseGaussian<F> where
F: Send,

impl<F> Sync for NormalInverseGaussian<F> where
F: Sync,

impl<F> Unpin for NormalInverseGaussian<F> where
F: Unpin,

impl<F> UnwindSafe for NormalInverseGaussian<F> where
F: UnwindSafe,

impl<T> Any for T where
T: 'static + ?Sized,

impl<T> Borrow<T> for T where
T: ?Sized,

impl<T> BorrowMut<T> for T where
T: ?Sized,

impl<T, U> Into<U> for T where
U: From<T>,

impl<T> ToOwned for T where
T: Clone,

impl<T, U> TryFrom<U> for T where
U: Into<T>,

impl<T, U> TryInto<U> for T where
U: TryFrom<T>,

impl<V, T> VZip<V> for T where
V: MultiLane<T>,