pub struct Exp { /* private fields */ }
Expand description
Implements the
Exp
distribution and is a special case of the
Gamma distribution
(referenced here)
use statrs::distribution::{Exp, Continuous};
use statrs::statistics::Distribution;
let n = Exp::new(1.0).unwrap();
assert_eq!(n.mean().unwrap(), 1.0);
assert_eq!(n.pdf(1.0), 0.3678794411714423215955);
Constructs a new exponential distribution with a
rate (λ) of rate.
Returns an error if rate is NaN or rate <= 0.0
use statrs::distribution::Exp;
let mut result = Exp::new(1.0);
assert!(result.is_ok());
result = Exp::new(-1.0);
assert!(result.is_err());
Returns the rate of the exponential distribution
use statrs::distribution::Exp;
let n = Exp::new(1.0).unwrap();
assert_eq!(n.rate(), 1.0);
Performs copy-assignment from source. Read more
Calculates the probability density function for the exponential
distribution at x
where λ is the rate
Calculates the log probability density function for the exponential
distribution at x
where λ is the rate
Calculates the cumulative distribution function for the
exponential distribution at x
where λ is the rate
Due to issues with rounding and floating-point accuracy the default
implementation may be ill-behaved.
Specialized inverse cdfs should be used whenever possible.
Performs a binary search on the domain of cdf to obtain an approximation
of F^-1(p) := inf { x | F(x) >= p }. Needless to say, performance may
may be lacking. Read more
Formats the value using the given formatter. Read more
Generate a random value of T, using rng as the source of randomness.
Create an iterator that generates random values of T, using rng as
the source of randomness. Read more
Create a distribution of values of ‘S’ by mapping the output of Self
through the closure F Read more
Returns the mean of the exponential distribution
where λ is the rate
Returns the variance of the exponential distribution
where λ is the rate
Returns the entropy of the exponential distribution
where λ is the rate
Returns the skewness of the exponential distribution
Returns the standard deviation, if it exists. Read more
Returns the maximum value in the domain of the exponential
distribution representable by a double precision float
Returns the median of the exponential distribution
where λ is the rate
Returns the minimum value in the domain of the exponential
distribution representable by a double precision float
Returns the mode of the exponential distribution
This method tests for self and other values to be equal, and is used
by ==. Read more
This method tests for !=.
impl<T> Any for T where
T: 'static + ?Sized,
Immutably borrows from an owned value. Read more
Mutably borrows from an owned value. Read more
impl<T, U> Into<U> for T where
U: From<T>,
Performance hack: Clone doesn’t get inlined for Copy types in debug mode, so make it inline anyway.
Tests if Self the same as the type T Read more
The inverse inclusion map: attempts to construct self from the equivalent element of its
superset. Read more
Checks if self is actually part of its subset T (and can be converted to it).
Use with care! Same as self.to_subset but without any property checks. Always succeeds.
The inclusion map: converts self to the equivalent element of its superset.
The resulting type after obtaining ownership.
Creates owned data from borrowed data, usually by cloning. Read more
🔬 This is a nightly-only experimental API. (toowned_clone_into)
Uses borrowed data to replace owned data, usually by cloning. Read more
The type returned in the event of a conversion error.
The type returned in the event of a conversion error.
