@stdlib/stats-base-dists-chisquare

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!

Chi-squared

Chi-squared distribution.

Installation

npm install @stdlib/stats-base-dists-chisquare

Usage

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

chisquare

Chi-squared distribution.

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

The namespace contains the following distribution functions:

• cdf( x, k ): Chi-squared distribution cumulative distribution function.
• logpdf( x, k ): evaluate the natural logarithm of the probability density function (PDF) for a chi-squared distribution.
• mgf( t, k ): Chi-squared distribution moment-generating function (MGF).
• pdf( x, k ): Chi-squared distribution probability density function (PDF).
• quantile( p, k ): Chi-squared distribution quantile function.

The namespace contains the following functions for calculating distribution properties:

• entropy( k ): Chi-squared distribution differential entropy.
• kurtosis( k ): Chi-squared distribution excess kurtosis.
• mean( k ): Chi-squared distribution expected value.
• median( k ): Chi-squared distribution median.
• mode( k ): Chi-squared distribution mode.
• skewness( k ): Chi-squared distribution skewness.
• stdev( k ): Chi-squared distribution standard deviation.
• variance( k ): Chi-squared distribution variance.

The namespace contains a constructor function for creating a Chi-squared distribution object.

• ChiSquare( [k] ): Chi-squared distribution constructor.

var ChiSquare = require( '@stdlib/stats-base-dists-chisquare' ).ChiSquare;

var dist = new ChiSquare( 4.0 );

var mu = dist.mean;
// returns 4.0

Examples

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

console.log( objectKeys( chisquare ) );

---

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

---

License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.

Changelog

0.2.0 (2024-02-14)

<section class="packages">

Packages

</section> <!-- /.packages --> <section class="contributors">

Contributors

A total of 1 person contributed to this release. Thank you to this contributor:

• Philipp Burckhardt

</section> <!-- /.contributors --> <section class="commits">

Commits

<details>

• 9502ed2 - build: replace tslint directive with eslint equivalent (by Philipp Burckhardt)
• d73bbf4 - build: replace lint directives (by Philipp Burckhardt)

</details> </section> <!-- /.commits --> </section> <!-- /.release --> <section class="release" id="v0.1.0">