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@stdlib/stats-base-dists-laplace-cdf

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@stdlib/stats-base-dists-laplace-cdf

Laplace distribution cumulative distribution function (CDF).

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About stdlib...

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Cumulative Distribution Function

NPM version Build Status Coverage Status

Laplace distribution cumulative distribution function.

The cumulative distribution function for a Laplace random variable is

Cumulative distribution function for a Laplace distribution.

where mu is the location parameter and b > 0 is the scale parameter.

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 );
// returns ~0.932

y = cdf( 5.0, 10.0, 3.0 );
// returns ~0.094

If provided NaN as any argument, the function returns NaN.

var y = cdf( NaN, 0.0, 1.0 );
// returns NaN

y = cdf( 0.0, NaN, 1.0 );
// returns NaN

y = cdf( 0.0, 0.0, NaN );
// returns NaN

If provided b <= 0, the function returns NaN.

var y = cdf( 2.0, 0.0, -1.0 );
// returns NaN

y = cdf( 2.0, 0.0, 0.0 );
// returns NaN
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 );
// returns ~0.132

y = mycdf( 4.0 );
// returns ~0.743

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.

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License

See LICENSE.

Copyright © 2016-2023. The Stdlib Authors.

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Package last updated on 24 Sep 2023

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