Cumulative Distribution Function
Cauchy distribution cumulative distribution function.
Installation
npm install @stdlib/stats-base-dists-cauchy-cdf
Usage
var cdf = require( '@stdlib/stats-base-dists-cauchy-cdf' );
cdf( x, x0, gamma )
Evaluates the cumulative distribution function (CDF) for a Cauchy distribution with parameters x0
(location parameter) and gamma > 0
(scale parameter).
var y = cdf( 4.0, 0.0, 2.0 );
y = cdf( 1.0, 0.0, 2.0 );
y = cdf( 1.0, 3.0, 2.0 );
If provided NaN
as any argument, the function returns NaN
.
var y = cdf( NaN, 0.0, 2.0 );
y = cdf( 1.0, 2.0, NaN );
y = cdf( 1.0, NaN, 3.0 );
If provided gamma <= 0
, the function returns NaN
.
var y = cdf( 2.0, 0.0, -1.0 );
y = cdf( 2.0, 0.0, 0.0 );
cdf.factory( x0, gamma )
Returns a function for evaluating the cumulative distribution function of a Cauchy distribution with parameters x0
(location parameter) and gamma > 0
(scale parameter).
var mycdf = cdf.factory( 10.0, 2.0 );
var y = mycdf( 10.0 );
y = mycdf( 12.0 );
Examples
var randu = require( '@stdlib/random-base-randu' );
var EPS = require( '@stdlib/constants-float64-eps' );
var cdf = require( '@stdlib/stats-base-dists-cauchy-cdf' );
var gamma;
var x0;
var x;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
x = randu() * 10.0;
x0 = randu() * 10.0;
gamma = ( randu()*10.0 ) + EPS;
y = cdf( x, x0, gamma );
console.log( 'x: %d, x0: %d, γ: %d, F(x;x0,γ): %d', x.toFixed( 4 ), x0.toFixed( 4 ), gamma.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 © 2016-2022. The Stdlib Authors.
0.0.7 (2022-07-08)
No changes reported for this release.
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