Module std::rand::distributions [−] [src]

Unstable (rand)
: use rand from crates.io

Sampling from random distributions.

This is a generalization of Rand to allow parameters to control the exact properties of the generated values, e.g. the mean and standard deviation of a normal distribution. The Sample trait is the most general, and allows for generating values that change some state internally. The IndependentSample trait is for generating values that do not need to record state.

Modules

exponential	[Unstable] The exponential distribution.
gamma	[Unstable] The Gamma and derived distributions.
normal	[Unstable] The normal and derived distributions.
range	[Unstable] Generating numbers between two others.

Structs

ChiSquared	[Unstable] The chi-squared distribution `χ²(k)`, where `k` is the degrees of freedom.
Exp	[Unstable] The exponential distribution `Exp(lambda)`.
FisherF	[Unstable] The Fisher F distribution `F(m, n)`.
Gamma	[Unstable] The Gamma distribution `Gamma(shape, scale)` distribution.
LogNormal	[Unstable] The log-normal distribution `ln N(mean, std_dev**2)`.
Normal	[Unstable] The normal distribution `N(mean, std_dev**2)`.
RandSample	[Unstable] A wrapper for generating types that implement `Rand` via the `Sample` & `IndependentSample` traits.
Range	[Unstable] Sample values uniformly between two bounds.
StudentT	[Unstable] The Student t distribution, `t(nu)`, where `nu` is the degrees of freedom.
Weighted	[Unstable] A value with a particular weight for use with `WeightedChoice`.
WeightedChoice	[Unstable] A distribution that selects from a finite collection of weighted items.

Traits

IndependentSample	[Unstable] `Sample`s that do not require keeping track of state.
Sample	[Unstable] Types that can be used to create a random instance of `Support`.