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!
Beta distribution.
npm install @stdlib/stats-base-dists-betavar beta = require( '@stdlib/stats-base-dists-beta' );Beta distribution.
var dist = beta;
// returns {...}The namespace contains the following distribution functions:
-
cdf( x, alpha, beta ): beta distribution cumulative distribution function. -
logcdf( x, alpha, beta ): beta distribution logarithm of cumulative distribution function. -
logpdf( x, alpha, beta ): beta distribution logarithm of probability density function (PDF). -
mgf( t, alpha, beta ): beta distribution moment-generating function (MGF). -
pdf( x, alpha, beta ): beta distribution probability density function (PDF). -
quantile( p, alpha, beta ): beta distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
-
entropy( alpha, beta ): beta distribution differential entropy. -
kurtosis( alpha, beta ): beta distribution excess kurtosis. -
mean( alpha, beta ): beta distribution expected value. -
median( alpha, beta ): beta distribution median. -
mode( alpha, beta ): beta distribution mode. -
skewness( alpha, beta ): beta distribution skewness. -
stdev( alpha, beta ): beta distribution standard deviation. -
variance( alpha, beta ): beta distribution variance.
The namespace contains a constructor function for creating a beta distribution object.
-
Beta( [alpha, beta] ): beta distribution constructor.
var Beta = require( '@stdlib/stats-base-dists-beta' ).Beta;
var dist = new Beta( 2.0, 4.0 );
var mu = dist.mean;
// returns ~0.333var objectKeys = require( '@stdlib/utils-keys' );
var beta = require( '@stdlib/stats-base-dists-beta' );
console.log( objectKeys( beta ) );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.
See LICENSE.
Copyright © 2016-2024. The Stdlib Authors.