Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/stdlib-js/stats-base-dists-erlang-quantile
Erlang distribution quantile function.
https://github.com/stdlib-js/stats-base-dists-erlang-quantile
cdf continuous dist distribution erlang inverse javascript node node-js nodejs probability statistics stats stdlib univariate
Last synced: about 1 month ago
JSON representation
Erlang distribution quantile function.
- Host: GitHub
- URL: https://github.com/stdlib-js/stats-base-dists-erlang-quantile
- Owner: stdlib-js
- License: apache-2.0
- Created: 2021-06-15T17:38:45.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-10-01T12:39:47.000Z (about 2 months ago)
- Last Synced: 2024-10-09T08:57:12.833Z (about 1 month ago)
- Topics: cdf, continuous, dist, distribution, erlang, inverse, javascript, node, node-js, nodejs, probability, statistics, stats, stdlib, univariate
- Language: JavaScript
- Homepage: https://github.com/stdlib-js/stdlib
- Size: 2.57 MB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Security: SECURITY.md
Awesome Lists containing this project
README
About stdlib...
We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.
When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.
To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!
# Quantile Function
[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]
> [Erlang][erlang-distribution] distribution [quantile function][quantile-function].
The [quantile function][quantile-function] for an [Erlang][erlang-distribution] random variable is
```math
Q(p;k,\lambda) = \frac{1}{\lambda} P^{-1}\left( p, k \right )
```for `0 <= p < 1`, where `k` is the shape parameter and `lambda` is the rate parameter of the distribution. `P^{-1}` is the inverse of the lower regularized incomplete gamma function. The [Erlang][erlang-distribution] distribution is a special case of the gamma distribution, as `k` is constrained to the natural numbers.
## Installation
```bash
npm install @stdlib/stats-base-dists-erlang-quantile
```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 quantile = require( '@stdlib/stats-base-dists-erlang-quantile' );
```#### quantile( p, k, lambda )
Evaluates the [quantile function][quantile-function] for an [Erlang][erlang-distribution] distribution with parameters `k` (shape parameter) and `lambda` (rate parameter).
```javascript
var y = quantile( 0.8, 2, 1.0 );
// returns ~2.994y = quantile( 0.5, 4, 2.0 );
// returns ~1.836
```If provided a probability `p` outside the interval `[0,1]`, the function returns `NaN`.
```javascript
var y = quantile( 1.9, 1, 1.0 );
// returns NaNy = quantile( -0.1, 1, 1.0 );
// returns NaN
```If provided `NaN` as any argument, the function returns `NaN`.
```javascript
var y = quantile( NaN, 1, 1.0 );
// returns NaNy = quantile( 0.0, NaN, 1.0 );
// returns NaNy = quantile( 0.0, 1, NaN );
// returns NaN
```If provided a `k` which is not a nonnegative integer, the function returns `NaN`.
```javascript
var y = quantile( 0.4, -1, 1.0 );
// returns NaNy = quantile( 0.4, 2.5, 1.0 );
// returns NaN
```If provided `k = 0`, the function evaluates the [quantile function][quantile-function] of a [degenerate distribution][degenerate-distribution] centered at `0`.
```javascript
var y = quantile( 0.3, 0, 2.0 );
// returns 0.0y = quantile( 0.9, 0, 2.0 );
// returns 0.0
```If provided `lambda <= 0`, the function returns `NaN`.
```javascript
var y = quantile( 0.4, 1, -1.0 );
// returns NaN
```#### quantile.factory( k, lambda )
Returns a function for evaluating the [quantile function][quantile-function] of an [Erlang][erlang-distribution] distribution with parameters `k` (shape parameter) and `lambda` (rate parameter).
```javascript
var myquantile = quantile.factory( 2, 2.0 );
var y = myquantile( 0.8 );
// returns ~1.497y = myquantile( 0.4 );
// returns ~0.688
```## Examples
```javascript
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var quantile = require( '@stdlib/stats-base-dists-erlang-quantile' );var lambda;
var k;
var p;
var y;
var i;for ( i = 0; i < 20; i++ ) {
p = randu();
k = round( randu() * 10.0 );
lambda = randu() * 5.0;
y = quantile( p, k, lambda );
console.log( 'p: %d, k: %d, λ: %d, Q(p;k,λ): %d', p.toFixed( 4 ), k, lambda.toFixed( 4 ), y.toFixed( 4 ) );
}
```* * *
## 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-erlang-quantile.svg
[npm-url]: https://npmjs.org/package/@stdlib/stats-base-dists-erlang-quantile[test-image]: https://github.com/stdlib-js/stats-base-dists-erlang-quantile/actions/workflows/test.yml/badge.svg?branch=main
[test-url]: https://github.com/stdlib-js/stats-base-dists-erlang-quantile/actions/workflows/test.yml?query=branch:main[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-base-dists-erlang-quantile/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/stats-base-dists-erlang-quantile?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-erlang-quantile/tree/deno
[deno-readme]: https://github.com/stdlib-js/stats-base-dists-erlang-quantile/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/stats-base-dists-erlang-quantile/tree/umd
[umd-readme]: https://github.com/stdlib-js/stats-base-dists-erlang-quantile/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/stats-base-dists-erlang-quantile/tree/esm
[esm-readme]: https://github.com/stdlib-js/stats-base-dists-erlang-quantile/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/stats-base-dists-erlang-quantile/blob/main/branches.md[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-base-dists-erlang-quantile/main/LICENSE
[degenerate-distribution]: https://en.wikipedia.org/wiki/Degenerate_distribution
[erlang-distribution]: https://en.wikipedia.org/wiki/Erlang_distribution
[quantile-function]: https://en.wikipedia.org/wiki/Quantile_function