# rand_distr

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Implements a full suite of random number distributions sampling routines.

This crate is a super-set of the [rand::distributions] module, including support
for sampling from Beta, Binomial, Cauchy, ChiSquared, Dirichlet, exponential,
Fisher F, Gamma, Log-normal, Normal, Pareto, Poisson, StudentT, Triangular and
Weibull distributions, as well as sampling points from the unit circle and unit
sphere surface.

It is worth mentioning the [statrs] crate which provides similar functionality
along with various support functions, including PDF and CDF computation. In
contrast, this `rand_distr` crate focusses on sampling from distributions.

Unlike most Rand crates, `rand_distr` does not currently support `no_std`.

Links:

-   [API documentation (master)](https://rust-random.github.io/rand/rand_distr)
-   [API documentation (docs.rs)](https://docs.rs/rand_distr)
-   [Changelog](CHANGELOG.md)
-   [The Rand project](https://github.com/rust-random/rand)


[statrs]: https://github.com/boxtown/statrs
[rand::distributions]: https://rust-random.github.io/rand/rand/distributions/index.html

## License

`rand_distr` is distributed under the terms of both the MIT license and the
Apache License (Version 2.0).

See [LICENSE-APACHE](LICENSE-APACHE) and [LICENSE-MIT](LICENSE-MIT), and
[COPYRIGHT](COPYRIGHT) for details.