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

0.2.1 • 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!

Degenerate

NPM version Build Status Coverage Status

Degenerate distribution constructor.

Installation

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

Usage

var Degenerate = require( '@stdlib/stats-base-dists-degenerate-ctor' );

Degenerate( [mu] )

Returns a Degenerate distribution object.

var degenerate = new Degenerate();

var mean = degenerate.mean;
// returns 0.0

By default, mu = 0.0. To create a distribution having a different mean value mu, provide a parameter value.

var degenerate = new Degenerate( 20.0 );

var mean = degenerate.mean;
// returns 20.0

degenerate

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

Writable Properties

degenerate.mu

Constant value of the distribution.

var degenerate = new Degenerate( 2.0 );

var mu = degenerate.mu;
// returns 2.0

degenerate.mu = -2.0;

mu = degenerate.mu;
// returns -2.0

Computed Properties

Degenerate.prototype.entropy

Returns the differential entropy.

var degenerate = new Degenerate( 4.0 );

var entropy = degenerate.entropy;
// returns 0.0

Degenerate.prototype.mean

Returns the mean.

var degenerate = new Degenerate( 10.0 );

var mu = degenerate.mean;
// returns 10.0

Degenerate.prototype.median

Returns the median.

var degenerate = new Degenerate( 10.0 );

var median = degenerate.median;
// returns 10.0

Degenerate.prototype.mode

Returns the mode.

var degenerate = new Degenerate( 10.0 );

var mode = degenerate.mode;
// returns 10.0

Degenerate.prototype.stdev

Returns the standard deviation.

var degenerate = new Degenerate( 4.0 );

var s = degenerate.stdev;
// returns 0.0

Degenerate.prototype.variance

Returns the variance.

var degenerate = new Degenerate( 4.0 );

var s2 = degenerate.variance;
// returns 0.0

Methods

Degenerate.prototype.cdf( x )

Evaluates the cumulative distribution function (CDF).

var degenerate = new Degenerate( 0.2 );

var y = degenerate.cdf( 0.5 );
// returns 1.0

Degenerate.prototype.logcdf( x )

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

var degenerate = new Degenerate( 0.2 );

var y = degenerate.logcdf( 0.5 );
// returns 0.0

Degenerate.prototype.logpdf( x )

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

var degenerate = new Degenerate( 10.0 );

var y = degenerate.logpdf( 9.0 );
// returns -Infinity

y = degenerate.logpdf( 10.0 );
// returns Infinity

Degenerate.prototype.logpmf( x )

Evaluates the natural logarithm of the probability mass function (logPMF).

var degenerate = new Degenerate( 10.0 );

var y = degenerate.logpmf( 9.0 );
// returns -Infinity

y = degenerate.logpmf( 10.0 );
// returns 0.0

Degenerate.prototype.mgf( t )

Evaluates the moment-generating function (MGF).

var degenerate = new Degenerate( 10.0 );

var y = degenerate.mgf( 0.1 );
// returns ~2.718

Degenerate.prototype.pdf( x )

Evaluates the probability density function (PDF).

var degenerate = new Degenerate( 10.0 );

var y = degenerate.pdf( 2.0 );
// returns 0.0

y = degenerate.pdf( 10.0 );
// returns +Infinity

Degenerate.prototype.pmf( x )

Evaluates the probability mass function (PMF).

var degenerate = new Degenerate( 10.0 );

var y = degenerate.pmf( 2.0 );
// returns 0.0

y = degenerate.pmf( 10.0 );
// returns 1.0

Degenerate.prototype.quantile( p )

Evaluates the quantile function at probability p.

var degenerate = new Degenerate( 10.0 );

var y = degenerate.quantile( 0.5 );
// returns 10.0

y = degenerate.quantile( 0.9 );
// returns 10.0

Examples

var Degenerate = require( '@stdlib/stats-base-dists-degenerate-ctor' );

var degenerate = new Degenerate( 0.5 );

var mu = degenerate.mean;
// returns 0.5

var s2 = degenerate.variance;
// returns 0.0

var y = degenerate.cdf( 2.0 );
// returns 1.0

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-degenerate-ctor

Homepage

stdlib.io

Weekly Downloads

25

Version

0.2.1

License

Apache-2.0

Unpacked Size

57.9 kB

Total Files

11

Last publish

Collaborators

  • stdlib-bot
  • kgryte
  • planeshifter
  • rreusser