time-to-botec/js/node_modules/@stdlib/stats/base/dists/logistic/cdf
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Necessary in order to clearly see the squiggle hotwiring.
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Cumulative Distribution Function

Logistic distribution cumulative distribution function.

The cumulative distribution function for a logistic random variable is

Cumulative distribution function for a logistic distribution.

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

Usage

var cdf = require( '@stdlib/stats/base/dists/logistic/cdf' );

cdf( x, mu, s )

Evaluates the cumulative distribution function (CDF) for a logistic distribution with parameters mu (location parameter) and s (scale parameter).

var y = cdf( 2.0, 0.0, 1.0 );
// returns ~0.881

y = cdf( 0.0, 0.0, 1.0 );
// returns 0.5

y = cdf( -1.0, 4.0, 2.0 );
// returns ~0.076

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 s < 0, the function returns NaN.

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

If provided s = 0, the function evaluates the CDF of a degenerate distribution centered at mu.

var y = cdf( 2.0, 8.0, 0.0 );
// returns 0.0

y = cdf( 8.0, 8.0, 0.0 );
// returns 1.0

y = cdf( 10.0, 8.0, 0.0 );
// returns 1.0

cdf.factory( mu, s )

Returns a function for evaluating the cumulative distribution function of a logistic distribution with parameters mu (location parameter) and s (scale parameter).

var mycdf = cdf.factory( 10.0, 2.0 );

var y = mycdf( 10.0 );
// returns 0.5

y = mycdf( 8.0 );
// returns ~0.269

Examples

var randu = require( '@stdlib/random/base/randu' );
var cdf = require( '@stdlib/stats/base/dists/logistic/cdf' );

var mu;
var s;
var x;
var y;
var i;

for ( i = 0; i < 10; i++ ) {
    x = randu() * 10.0;
    mu = randu() * 10.0;
    s = randu() * 10.0;
    y = cdf( x, mu, s );
    console.log( 'x: %d, µ: %d, s: %d, F(x;µ,s): %d', x, mu, s, y );
}