Cumulative Distribution Function
Laplace distribution cumulative distribution function.
Installation
npm install @stdlib/stats-base-dists-laplace-cdf
Usage
var cdf = require( '@stdlib/stats-base-dists-laplace-cdf' );
cdf( x, mu, b )
Evaluates the cumulative distribution function (CDF) for a Laplace distribution with parameters mu
(location parameter) and b > 0
(scale parameter).
var y = cdf( 2.0, 0.0, 1.0 );
y = cdf( 5.0, 10.0, 3.0 );
If provided NaN
as any argument, the function returns NaN
.
var y = cdf( NaN, 0.0, 1.0 );
y = cdf( 0.0, NaN, 1.0 );
y = cdf( 0.0, 0.0, NaN );
If provided b <= 0
, the function returns NaN
.
var y = cdf( 2.0, 0.0, -1.0 );
y = cdf( 2.0, 0.0, 0.0 );
cdf.factory( mu, b )
Returns a function for evaluating the cumulative distribution function of a Laplace distribution with parameters mu
(location parameter) and b > 0
(scale parameter).
var mycdf = cdf.factory( 3.0, 1.5 );
var y = mycdf( 1.0 );
y = mycdf( 4.0 );
Examples
var randu = require( '@stdlib/random-base-randu' );
var cdf = require( '@stdlib/stats-base-dists-laplace-cdf' );
var mu;
var b;
var x;
var y;
var i;
for ( i = 0; i < 100; i++ ) {
x = randu() * 10.0;
mu = randu() * 10.0;
b = randu() * 10.0;
y = cdf( x, mu, b );
console.log( 'x: %d, µ: %d, b: %d, F(x;µ,b): %d', x.toFixed( 4 ), mu.toFixed( 4 ), b.toFixed( 4 ), y.toFixed( 4 ) );
}
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.
License
See LICENSE.
Copyright
Copyright © 2016-2021. The Stdlib Authors.
0.0.2 (2021-06-16)
No changes reported for this release.
</section>
<!-- /.release -->
<section class="release" id="v0.0.1">