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https://github.com/stdlib-js/stats-base-dists

Standard library probability distribution modules.
https://github.com/stdlib-js/stats-base-dists

dist distribution javascript lib library math mathematics node node-js nodejs probability standard statistics stats stdlib

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Standard library probability distribution modules.

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README

        


About stdlib...

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# Probability Distributions

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]

> Base (i.e., lower-level) probability distribution modules.

## Installation

```bash
npm install @stdlib/stats-base-dists
```

Alternatively,

- To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]).
- If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions).
- For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]).

The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

## Usage

```javascript
var dists = require( '@stdlib/stats-base-dists' );
```

#### dists

Namespace containing "base" (i.e., lower-level) probability distribution modules.

```javascript
var distributions = dists;
// returns {...}
```

### Continuous Distributions

- [`arcsine`][@stdlib/stats/base/dists/arcsine]: arcsine distribution.
- [`beta`][@stdlib/stats/base/dists/beta]: beta distribution.
- [`betaprime`][@stdlib/stats/base/dists/betaprime]: beta prime distribution.
- [`cauchy`][@stdlib/stats/base/dists/cauchy]: Cauchy distribution.
- [`chi`][@stdlib/stats/base/dists/chi]: Chi distribution.
- [`chisquare`][@stdlib/stats/base/dists/chisquare]: Chi-squared distribution.
- [`cosine`][@stdlib/stats/base/dists/cosine]: raised cosine distribution.
- [`erlang`][@stdlib/stats/base/dists/erlang]: Erlang distribution.
- [`exponential`][@stdlib/stats/base/dists/exponential]: exponential distribution.
- [`f`][@stdlib/stats/base/dists/f]: fisher's F distribution.
- [`frechet`][@stdlib/stats/base/dists/frechet]: Fréchet distribution.
- [`gamma`][@stdlib/stats/base/dists/gamma]: gamma distribution.
- [`gumbel`][@stdlib/stats/base/dists/gumbel]: Gumbel distribution.
- [`invgamma`][@stdlib/stats/base/dists/invgamma]: inverse gamma distribution.
- [`kumaraswamy`][@stdlib/stats/base/dists/kumaraswamy]: Kumaraswamy's double bounded distribution.
- [`laplace`][@stdlib/stats/base/dists/laplace]: Laplace distribution.
- [`levy`][@stdlib/stats/base/dists/levy]: Lévy distribution.
- [`logistic`][@stdlib/stats/base/dists/logistic]: logistic distribution.
- [`lognormal`][@stdlib/stats/base/dists/lognormal]: lognormal distribution.
- [`normal`][@stdlib/stats/base/dists/normal]: normal distribution.
- [`pareto1`][@stdlib/stats/base/dists/pareto-type1]: Pareto (Type I) distribution.
- [`rayleigh`][@stdlib/stats/base/dists/rayleigh]: Rayleigh distribution.
- [`signrank`][@stdlib/stats/base/dists/signrank]: distribution of the Wilcoxon signed rank test statistic.
- [`tukey`][@stdlib/stats/base/dists/studentized-range]: Studentized range distribution.
- [`t`][@stdlib/stats/base/dists/t]: Student's t distribution.
- [`triangular`][@stdlib/stats/base/dists/triangular]: triangular distribution.
- [`truncatedNormal`][@stdlib/stats/base/dists/truncated-normal]: truncated normal distribution.
- [`uniform`][@stdlib/stats/base/dists/uniform]: continuous uniform distribution.

### Discrete Distributions

- [`bernoulli`][@stdlib/stats/base/dists/bernoulli]: Bernoulli distribution.
- [`binomial`][@stdlib/stats/base/dists/binomial]: binomial distribution.
- [`discreteUniform`][@stdlib/stats/base/dists/discrete-uniform]: discrete uniform distribution.
- [`geometric`][@stdlib/stats/base/dists/geometric]: geometric distribution.
- [`hypergeometric`][@stdlib/stats/base/dists/hypergeometric]: hypergeometric distribution.
- [`negativeBinomial`][@stdlib/stats/base/dists/negative-binomial]: negative binomial distribution.
- [`poisson`][@stdlib/stats/base/dists/poisson]: Poisson distribution.

### Other

- [`degenerate`][@stdlib/stats/base/dists/degenerate]: degenerate distribution.

## Examples

```javascript
var objectKeys = require( '@stdlib/utils-keys' );
var dists = require( '@stdlib/stats-base-dists' );

console.log( objectKeys( dists ) );
```

* * *

## Notice

This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].

#### Community

[![Chat][chat-image]][chat-url]

---

## License

See [LICENSE][stdlib-license].

## Copyright

Copyright © 2016-2024. The Stdlib [Authors][stdlib-authors].

[npm-image]: http://img.shields.io/npm/v/@stdlib/stats-base-dists.svg
[npm-url]: https://npmjs.org/package/@stdlib/stats-base-dists

[test-image]: https://github.com/stdlib-js/stats-base-dists/actions/workflows/test.yml/badge.svg?branch=main
[test-url]: https://github.com/stdlib-js/stats-base-dists/actions/workflows/test.yml?query=branch:main

[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-base-dists/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/stats-base-dists?branch=main

[chat-image]: https://img.shields.io/gitter/room/stdlib-js/stdlib.svg
[chat-url]: https://app.gitter.im/#/room/#stdlib-js_stdlib:gitter.im

[stdlib]: https://github.com/stdlib-js/stdlib

[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors

[umd]: https://github.com/umdjs/umd
[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules

[deno-url]: https://github.com/stdlib-js/stats-base-dists/tree/deno
[deno-readme]: https://github.com/stdlib-js/stats-base-dists/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/stats-base-dists/tree/umd
[umd-readme]: https://github.com/stdlib-js/stats-base-dists/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/stats-base-dists/tree/esm
[esm-readme]: https://github.com/stdlib-js/stats-base-dists/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/stats-base-dists/blob/main/branches.md

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-base-dists/main/LICENSE

[@stdlib/stats/base/dists/degenerate]: https://github.com/stdlib-js/stats-base-dists-degenerate

[@stdlib/stats/base/dists/bernoulli]: https://github.com/stdlib-js/stats-base-dists-bernoulli

[@stdlib/stats/base/dists/binomial]: https://github.com/stdlib-js/stats-base-dists-binomial

[@stdlib/stats/base/dists/discrete-uniform]: https://github.com/stdlib-js/stats-base-dists-discrete-uniform

[@stdlib/stats/base/dists/geometric]: https://github.com/stdlib-js/stats-base-dists-geometric

[@stdlib/stats/base/dists/hypergeometric]: https://github.com/stdlib-js/stats-base-dists-hypergeometric

[@stdlib/stats/base/dists/negative-binomial]: https://github.com/stdlib-js/stats-base-dists-negative-binomial

[@stdlib/stats/base/dists/poisson]: https://github.com/stdlib-js/stats-base-dists-poisson

[@stdlib/stats/base/dists/arcsine]: https://github.com/stdlib-js/stats-base-dists-arcsine

[@stdlib/stats/base/dists/beta]: https://github.com/stdlib-js/stats-base-dists-beta

[@stdlib/stats/base/dists/betaprime]: https://github.com/stdlib-js/stats-base-dists-betaprime

[@stdlib/stats/base/dists/cauchy]: https://github.com/stdlib-js/stats-base-dists-cauchy

[@stdlib/stats/base/dists/chi]: https://github.com/stdlib-js/stats-base-dists-chi

[@stdlib/stats/base/dists/chisquare]: https://github.com/stdlib-js/stats-base-dists-chisquare

[@stdlib/stats/base/dists/cosine]: https://github.com/stdlib-js/stats-base-dists-cosine

[@stdlib/stats/base/dists/erlang]: https://github.com/stdlib-js/stats-base-dists-erlang

[@stdlib/stats/base/dists/exponential]: https://github.com/stdlib-js/stats-base-dists-exponential

[@stdlib/stats/base/dists/f]: https://github.com/stdlib-js/stats-base-dists-f

[@stdlib/stats/base/dists/frechet]: https://github.com/stdlib-js/stats-base-dists-frechet

[@stdlib/stats/base/dists/gamma]: https://github.com/stdlib-js/stats-base-dists-gamma

[@stdlib/stats/base/dists/gumbel]: https://github.com/stdlib-js/stats-base-dists-gumbel

[@stdlib/stats/base/dists/invgamma]: https://github.com/stdlib-js/stats-base-dists-invgamma

[@stdlib/stats/base/dists/kumaraswamy]: https://github.com/stdlib-js/stats-base-dists-kumaraswamy

[@stdlib/stats/base/dists/laplace]: https://github.com/stdlib-js/stats-base-dists-laplace

[@stdlib/stats/base/dists/levy]: https://github.com/stdlib-js/stats-base-dists-levy

[@stdlib/stats/base/dists/logistic]: https://github.com/stdlib-js/stats-base-dists-logistic

[@stdlib/stats/base/dists/lognormal]: https://github.com/stdlib-js/stats-base-dists-lognormal

[@stdlib/stats/base/dists/normal]: https://github.com/stdlib-js/stats-base-dists-normal

[@stdlib/stats/base/dists/pareto-type1]: https://github.com/stdlib-js/stats-base-dists-pareto-type1

[@stdlib/stats/base/dists/rayleigh]: https://github.com/stdlib-js/stats-base-dists-rayleigh

[@stdlib/stats/base/dists/signrank]: https://github.com/stdlib-js/stats-base-dists-signrank

[@stdlib/stats/base/dists/studentized-range]: https://github.com/stdlib-js/stats-base-dists-studentized-range

[@stdlib/stats/base/dists/t]: https://github.com/stdlib-js/stats-base-dists-t

[@stdlib/stats/base/dists/triangular]: https://github.com/stdlib-js/stats-base-dists-triangular

[@stdlib/stats/base/dists/truncated-normal]: https://github.com/stdlib-js/stats-base-dists-truncated-normal

[@stdlib/stats/base/dists/uniform]: https://github.com/stdlib-js/stats-base-dists-uniform