Module rand::distributions
[−]
[src]
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.
Reexports
pub use self::range::Range; 
pub use self::gamma::{Gamma, ChiSquared, FisherF, StudentT}; 
pub use self::normal::{Normal, LogNormal}; 
pub use self::exponential::Exp; 
Modules
exponential 
The exponential distribution. 
gamma 
The Gamma and derived distributions. 
normal 
The normal and derived distributions. 
range 
Generating numbers between two others. 
Structs
RandSample 
A wrapper for generating types that implement 
Weighted 
A value with a particular weight for use with 
WeightedChoice 
A distribution that selects from a finite collection of weighted items. 
Traits
IndependentSample 

Sample 
Types that can be used to create a random instance of 