npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@stdlib/stats-base-dists-cauchy-ctor

v0.2.2

Published

Cauchy distribution constructor.

Downloads

866

Readme

Cauchy

NPM version Build Status Coverage Status

Cauchy distribution constructor.

Installation

npm install @stdlib/stats-base-dists-cauchy-ctor

Usage

var Cauchy = require( '@stdlib/stats-base-dists-cauchy-ctor' );

Cauchy( [x0, gamma] )

Returns a Cauchy distribution object.

var cauchy = new Cauchy();

var median = cauchy.median;
// returns 0.0

By default, x0 = 0.0 and gamma = 1.0. To create a distribution having a different x0 (location parameter) and gamma (scale parameter), provide the corresponding arguments.

var cauchy = new Cauchy( 2.0, 4.0 );

var median = cauchy.median;
// returns 2.0

cauchy

A Cauchy distribution object has the following properties and methods...

Writable Properties

cauchy.x0

Location parameter of the distribution.

var cauchy = new Cauchy();

var x0 = cauchy.x0;
// returns 0.0

cauchy.x0 = 3.0;

x0 = cauchy.x0;
// returns 3.0

cauchy.gamma

Scale parameter of the distribution. gamma must be a positive number.

var cauchy = new Cauchy( 2.0, 4.0 );

var gamma = cauchy.gamma;
// returns 4.0

cauchy.gamma = 3.0;

gamma = cauchy.gamma;
// returns 3.0

Computed Properties

Cauchy.prototype.entropy

Returns the differential entropy.

var cauchy = new Cauchy( 4.0, 12.0 );

var entropy = cauchy.entropy;
// returns ~5.016

Cauchy.prototype.median

Returns the median.

var cauchy = new Cauchy( 4.0, 12.0 );

var median = cauchy.median;
// returns 4.0

Cauchy.prototype.mode

Returns the mode.

var cauchy = new Cauchy( 4.0, 12.0 );

var mode = cauchy.mode;
// returns 4.0

Methods

Cauchy.prototype.cdf( x )

Evaluates the cumulative distribution function (CDF).

var cauchy = new Cauchy( 2.0, 4.0 );

var y = cauchy.cdf( 0.5 );
// returns ~0.386

Cauchy.prototype.logcdf( x )

Evaluates the natural logarithm of the cumulative distribution function (CDF).

var cauchy = new Cauchy( 2.0, 4.0 );

var y = cauchy.logcdf( 0.5 );
// returns ~-0.952

Cauchy.prototype.logpdf( x )

Evaluates the natural logarithm of the probability density function (PDF).

var cauchy = new Cauchy( 2.0, 4.0 );

var y = cauchy.logpdf( 0.8 );
// returns ~-2.617

Cauchy.prototype.pdf( x )

Evaluates the probability density function (PDF).

var cauchy = new Cauchy( 2.0, 4.0 );

var y = cauchy.pdf( 0.8 );
// returns ~0.073

Cauchy.prototype.quantile( p )

Evaluates the quantile function at probability p.

var cauchy = new Cauchy( 2.0, 4.0 );

var y = cauchy.quantile( 0.5 );
// returns 2.0

y = cauchy.quantile( 1.9 );
// returns NaN

Examples

var Cauchy = require( '@stdlib/stats-base-dists-cauchy-ctor' );

var cauchy = new Cauchy( 2.0, 4.0 );

var entropy = cauchy.entropy;
// returns ~3.917

var median = cauchy.median;
// returns 2.0

var mode = cauchy.mode;
// returns 2.0

var y = cauchy.cdf( 0.8 );
// returns ~0.407

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.