Struct rv::dist::LogNormal

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pub struct LogNormal { /* private fields */ }
Expand description

LogNormal Distribution If x ~ Normal(μ, σ), then e^x ~ LogNormal(μ, σ).

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impl LogNormal

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pub fn new(mu: f64, sigma: f64) -> Result<Self, LogNormalError>

Create a new LogNormal distribution

§Arguments
  • mu: log scale mean
  • sigma: log scale standard deviation
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pub fn new_unchecked(mu: f64, sigma: f64) -> Self

Creates a new LogNormal without checking whether the parameters are valid.

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pub fn standard() -> Self

LogNorma(0, 1)

§Example
let lognormal = LogNormal::standard();
assert_eq!(lognormal, LogNormal::new(0.0, 1.0).unwrap());
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pub fn mu(&self) -> f64

Get the mu parameter

§Example
let lognormal = LogNormal::new(-1.0, 2.0).unwrap();
assert_eq!(lognormal.mu(), -1.0);
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pub fn set_mu(&mut self, mu: f64) -> Result<(), LogNormalError>

Set the value of mu

§Example
let mut lognormal = LogNormal::new(2.0, 1.5).unwrap();
assert_eq!(lognormal.mu(), 2.0);

lognormal.set_mu(1.3).unwrap();
assert_eq!(lognormal.mu(), 1.3);

Will error for invalid values

assert!(lognormal.set_mu(1.3).is_ok());
assert!(lognormal.set_mu(std::f64::NEG_INFINITY).is_err());
assert!(lognormal.set_mu(std::f64::INFINITY).is_err());
assert!(lognormal.set_mu(std::f64::NAN).is_err());
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pub fn set_mu_unchecked(&mut self, mu: f64)

Set the value of mu without input validation

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pub fn sigma(&self) -> f64

Get the sigma parameter

§Example
let lognormal = LogNormal::new(-1.0, 2.0).unwrap();
assert_eq!(lognormal.sigma(), 2.0);
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pub fn set_sigma(&mut self, sigma: f64) -> Result<(), LogNormalError>

Set the value of sigma

§Example
let mut lognormal = LogNormal::standard();
assert_eq!(lognormal.sigma(), 1.0);

lognormal.set_sigma(2.3).unwrap();
assert_eq!(lognormal.sigma(), 2.3);

Will error for invalid values

assert!(lognormal.set_sigma(2.3).is_ok());
assert!(lognormal.set_sigma(0.0).is_err());
assert!(lognormal.set_sigma(-1.0).is_err());
assert!(lognormal.set_sigma(std::f64::INFINITY).is_err());
assert!(lognormal.set_sigma(std::f64::NEG_INFINITY).is_err());
assert!(lognormal.set_sigma(std::f64::NAN).is_err());
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pub fn set_sigma_unchecked(&mut self, sigma: f64)

Set the value of sigma

Trait Implementations§

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impl Cdf<f32> for LogNormal

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fn cdf(&self, x: &f32) -> f64

The value of the Cumulative Density Function at x Read more
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fn sf(&self, x: &X) -> f64

Survival function, 1 - CDF(x)
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impl Cdf<f64> for LogNormal

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

The value of the Cumulative Density Function at x Read more
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fn sf(&self, x: &X) -> f64

Survival function, 1 - CDF(x)
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impl Clone for LogNormal

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fn clone(&self) -> LogNormal

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 ContinuousDistr<f32> for LogNormal

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

The value of the Probability Density Function (PDF) at x Read more
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fn ln_pdf(&self, x: &X) -> f64

The value of the log Probability Density Function (PDF) at x Read more
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impl ContinuousDistr<f64> for LogNormal

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

The value of the Probability Density Function (PDF) at x Read more
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fn ln_pdf(&self, x: &X) -> f64

The value of the log Probability Density Function (PDF) at x Read more
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impl Debug for LogNormal

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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 Default for LogNormal

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl<'de> Deserialize<'de> for LogNormal

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl Display for LogNormal

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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 Entropy for LogNormal

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fn entropy(&self) -> f64

The entropy, H(X)
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impl From<&LogNormal> for String

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fn from(lognorm: &LogNormal) -> String

Converts to this type from the input type.
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impl InverseCdf<f32> for LogNormal

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fn invcdf(&self, p: f64) -> f32

The value of the x at the given probability in the CDF Read more
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fn quantile(&self, p: f64) -> X

Alias for invcdf
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fn interval(&self, p: f64) -> (X, X)

Interval containing p proportion for the probability Read more
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impl InverseCdf<f64> for LogNormal

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fn invcdf(&self, p: f64) -> f64

The value of the x at the given probability in the CDF Read more
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fn quantile(&self, p: f64) -> X

Alias for invcdf
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fn interval(&self, p: f64) -> (X, X)

Interval containing p proportion for the probability Read more
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impl Kurtosis for LogNormal

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impl Mean<f32> for LogNormal

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fn mean(&self) -> Option<f32>

Returns None if the mean is undefined
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impl Mean<f64> for LogNormal

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fn mean(&self) -> Option<f64>

Returns None if the mean is undefined
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impl Median<f32> for LogNormal

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fn median(&self) -> Option<f32>

Returns None if the median is undefined
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impl Median<f64> for LogNormal

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fn median(&self) -> Option<f64>

Returns None if the median is undefined
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impl Mode<f32> for LogNormal

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fn mode(&self) -> Option<f32>

Returns None if the mode is undefined or is not a single value
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impl Mode<f64> for LogNormal

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fn mode(&self) -> Option<f64>

Returns None if the mode is undefined or is not a single value
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impl PartialEq for LogNormal

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fn eq(&self, other: &LogNormal) -> bool

This method tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl Rv<f32> for LogNormal

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fn ln_f(&self, x: &f32) -> f64

Probability function Read more
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fn draw<R: Rng>(&self, rng: &mut R) -> f32

Single draw from the Rv Read more
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fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<f32>

Multiple draws of the Rv Read more
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fn f(&self, x: &X) -> f64

Probability function Read more
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fn sample_stream<'r, R: Rng>( &'r self, rng: &'r mut R ) -> Box<dyn Iterator<Item = X> + 'r>

Create a never-ending iterator of samples Read more
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impl Rv<f64> for LogNormal

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fn ln_f(&self, x: &f64) -> f64

Probability function Read more
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fn draw<R: Rng>(&self, rng: &mut R) -> f64

Single draw from the Rv Read more
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fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<f64>

Multiple draws of the Rv Read more
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fn f(&self, x: &X) -> f64

Probability function Read more
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fn sample_stream<'r, R: Rng>( &'r self, rng: &'r mut R ) -> Box<dyn Iterator<Item = X> + 'r>

Create a never-ending iterator of samples Read more
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impl Serialize for LogNormal

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fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>
where __S: Serializer,

Serialize this value into the given Serde serializer. Read more
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impl Skewness for LogNormal

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impl Support<f32> for LogNormal

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fn supports(&self, x: &f32) -> bool

Returns true if x is in the support of the Rv Read more
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impl Support<f64> for LogNormal

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fn supports(&self, x: &f64) -> bool

Returns true if x is in the support of the Rv Read more
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impl Variance<f64> for LogNormal

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fn variance(&self) -> Option<f64>

Returns None if the variance is undefined
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impl StructuralPartialEq for LogNormal

Auto Trait Implementations§

Blanket Implementations§

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

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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,

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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,

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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

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fn from(t: T) -> T

Returns the argument unchanged.

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

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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<Fx> Rv<Datum> for Fx
where Fx: RvDatum,

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fn ln_f(&self, x: &Datum) -> f64

Probability function Read more
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fn draw<R>(&self, rng: &mut R) -> Datum
where R: Rng,

Single draw from the Rv Read more
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fn sample<R>(&self, n: usize, rng: &mut R) -> Vec<Datum>
where R: Rng,

Multiple draws of the Rv Read more
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fn sample_stream<'r, R>( &'r self, rng: &'r mut R ) -> Box<dyn Iterator<Item = Datum> + 'r>
where R: Rng,

Create a never-ending iterator of samples Read more
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fn f(&self, x: &X) -> f64

Probability function Read more
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impl<T> Same for T

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type Output = T

Should always be Self
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impl<SS, SP> SupersetOf<SS> for SP
where SS: SubsetOf<SP>,

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fn to_subset(&self) -> Option<SS>

The inverse inclusion map: attempts to construct self from the equivalent element of its superset. Read more
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fn is_in_subset(&self) -> bool

Checks if self is actually part of its subset T (and can be converted to it).
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fn to_subset_unchecked(&self) -> SS

Use with care! Same as self.to_subset but without any property checks. Always succeeds.
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fn from_subset(element: &SS) -> SP

The inclusion map: converts self to the equivalent element of its superset.
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impl<T> ToOwned for T
where T: Clone,

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type Owned = T

The resulting type after obtaining ownership.
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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
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impl<T> ToString for T
where T: Display + ?Sized,

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default fn to_string(&self) -> String

Converts the given value to a String. Read more
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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
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impl<V, T> VZip<V> for T
where V: MultiLane<T>,

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fn vzip(self) -> V

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impl<T> DeserializeOwned for T
where T: for<'de> Deserialize<'de>,

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impl<T> DeserializeOwnedAlias for T

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impl<T> Scalar for T
where T: 'static + Clone + PartialEq + Debug,

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impl<T> SendAlias for T

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impl<T> SendSyncUnwindSafe for T
where T: Send + Sync + UnwindSafe + ?Sized,

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impl<T> SerializeAlias for T
where T: Serialize,

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impl<T> SyncAlias for T