[−][src]Trait rv::traits::DiscreteDistr
Is a discrete probability distribution
Provided methods
fn pmf(&self, x: &X) -> f64
Probability mass function (PMF) at x
Panics
If x
is not supported
Example
The probability of a fair coin coming up heads in 0.5
use rv::dist::Bernoulli; use rv::traits::DiscreteDistr; // Fair coin (p = 0.5) let b = Bernoulli::uniform(); assert!( (b.pmf(&true) - 0.5).abs() < 1E-12);
fn ln_pmf(&self, x: &X) -> f64
Natural logarithm of the probability mass function (PMF)
Panics
If x
is not supported
Example
The probability of a fair coin coming up heads in 0.5
use rv::dist::Bernoulli; use rv::traits::DiscreteDistr; // Fair coin (p = 0.5) let b = Bernoulli::uniform(); assert!( (b.ln_pmf(&true) - 0.5_f64.ln()).abs() < 1E-12);
Implementors
impl DiscreteDistr<bool> for Bernoulli
[src]
impl DiscreteDistr<i16> for BetaBinomial
[src]
impl DiscreteDistr<i16> for Binomial
[src]
impl DiscreteDistr<i32> for BetaBinomial
[src]
impl DiscreteDistr<i32> for Binomial
[src]
impl DiscreteDistr<i64> for BetaBinomial
[src]
impl DiscreteDistr<i64> for Binomial
[src]
impl DiscreteDistr<i8> for BetaBinomial
[src]
impl DiscreteDistr<i8> for Binomial
[src]
impl DiscreteDistr<u16> for BetaBinomial
[src]
impl DiscreteDistr<u16> for Binomial
[src]
impl DiscreteDistr<u16> for Poisson
[src]
impl DiscreteDistr<u32> for BetaBinomial
[src]
impl DiscreteDistr<u32> for Binomial
[src]
impl DiscreteDistr<u32> for Poisson
[src]
impl DiscreteDistr<u64> for BetaBinomial
[src]
impl DiscreteDistr<u64> for Binomial
[src]
impl DiscreteDistr<u8> for BetaBinomial
[src]
impl DiscreteDistr<u8> for Binomial
[src]
impl DiscreteDistr<u8> for Poisson
[src]
impl DiscreteDistr<usize> for BetaBinomial
[src]
impl DiscreteDistr<usize> for Binomial
[src]
impl<Fx, X> DiscreteDistr<X> for Fx where
Fx: Deref,
Fx::Target: DiscreteDistr<X>,
[src]
Fx: Deref,
Fx::Target: DiscreteDistr<X>,
impl<X> DiscreteDistr<X> for Geometric where
X: Unsigned + Integer + FromPrimitive + ToPrimitive + Saturating + Bounded,
[src]
X: Unsigned + Integer + FromPrimitive + ToPrimitive + Saturating + Bounded,
impl<X, Fx> DiscreteDistr<X> for Mixture<Fx> where
Fx: Rv<X> + DiscreteDistr<X>,
[src]
Fx: Rv<X> + DiscreteDistr<X>,
impl<X, T> DiscreteDistr<X> for DiscreteUniform<T> where
X: Integer + From<T>,
T: DuParam + SampleUniform + Into<f64>,
[src]
X: Integer + From<T>,
T: DuParam + SampleUniform + Into<f64>,