@stdlib/stats-base-dists-negative-binomial
TypeScript icon, indicating that this package has built-in type declarations

0.1.1 • Public • Published
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!

Negative Binomial

NPM version Build Status Coverage Status

Negative binomial distribution.

Installation

npm install @stdlib/stats-base-dists-negative-binomial

Usage

var negativeBinomial = require( '@stdlib/stats-base-dists-negative-binomial' );

negativeBinomial

Negative binomial distribution.

var dist = negativeBinomial;
// returns {...}

The namespace contains the following distribution functions:

  • cdf( x, r, p ): negative binomial distribution cumulative distribution function.
  • logpmf( x, r, p ): evaluate the natural logarithm of the probability mass function (PMF) for a negative binomial distribution.
  • mgf( t, r, p ): negative binomial distribution moment-generating function (MGF).
  • pmf( x, r, p ): negative binomial distribution probability mass function (PMF).
  • quantile( k, r, p ): negative binomial distribution quantile function.

The namespace contains the following functions for calculating distribution properties:

The namespace contains a constructor function for creating a negative binomial distribution object.

var NegativeBinomial = require( '@stdlib/stats-base-dists-negative-binomial' ).NegativeBinomial;

var dist = new NegativeBinomial( 4.0, 0.2 );

var y = dist.pmf( 4.0 );
// returns ~0.023

Examples

var objectKeys = require( '@stdlib/utils-keys' );
var negativeBinomial = require( '@stdlib/stats-base-dists-negative-binomial' );

console.log( objectKeys( negativeBinomial ) );

Notice

This package is part of 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, see the main project repository.

Community

Chat


License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.

Package Sidebar

Install

npm i @stdlib/stats-base-dists-negative-binomial

Homepage

stdlib.io

Weekly Downloads

71

Version

0.1.1

License

Apache-2.0

Unpacked Size

46 kB

Total Files

10

Last publish

Collaborators

  • stdlib-bot
  • kgryte
  • planeshifter
  • rreusser