Module rand::distributions
[−]
[src]
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.
Reexports
use core::prelude::v1::*; |
use core::num::Float; |
use core::marker::PhantomData; |
use ::{Rng, Rand}; |
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 |
[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. |
| ziggurat_tables | [Unstable] |
Structs
| RandSample |
[Unstable] A wrapper for generating types that implement |
| Weighted |
[Unstable] A value with a particular weight for use with |
| WeightedChoice |
[Unstable] A distribution that selects from a finite collection of weighted items. |
Traits
| IndependentSample |
[Unstable]
|
| Sample |
[Unstable] Types that can be used to create a random instance of |
Functions
| ziggurat |
[Unstable] Sample a random number using the Ziggurat method (specifically the ZIGNOR variant from Doornik 2005). Most of the arguments are directly from the paper: |