Trait randomkit::Sample

pub trait Sample<Support> {
    fn sample(&self, rng: &mut Rng) -> Support;
}

Required Methods

fn sample(&self, rng: &mut Rng) -> Support

Generate a pseudorandom element of Support using rng as the source of randomness.

Implementors

• impl Sample<f64> for Gauss
• impl Sample<f64> for Rand
• impl Sample<isize> for Randint
• impl Sample<f64> for StandardCauchy
• impl Sample<f64> for StandardExponential
• impl Sample<f64> for Beta
• impl Sample<isize> for Binomial
• impl Sample<f64> for Chisquare
• impl Sample<Vec<f64>> for Dirichlet
• impl Sample<f64> for Exponential
• impl Sample<f64> for F
• impl Sample<f64> for Gamma
• impl Sample<isize> for Geometric
• impl Sample<f64> for Gumbel
• impl Sample<isize> for Hypergeometric
• impl Sample<f64> for Laplace
• impl Sample<f64> for Logistic
• impl Sample<f64> for Lognormal
• impl Sample<isize> for Logseries
• impl Sample<Vec<isize>> for Multinomial
• impl Sample<isize> for NegativeBinomial
• impl Sample<f64> for NoncentralChisquare
• impl Sample<f64> for NoncentralF
• impl Sample<f64> for Normal
• impl Sample<f64> for Pareto
• impl Sample<isize> for Poisson
• impl Sample<f64> for Power
• impl Sample<f64> for Rayleigh
• impl Sample<f64> for StandardGamma
• impl Sample<f64> for StandardT
• impl Sample<f64> for Triangular
• impl Sample<f64> for Uniform
• impl Sample<f64> for Vonmises
• impl Sample<f64> for Wald
• impl Sample<f64> for Weibull
• impl Sample<isize> for Zipf