@stdlib/stats/base/dists/logistic/pdf/lib/main.js

Standard library statistical functions.

/**
* @license Apache-2.0
*
* Copyright (c) 2018 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*    http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

'use strict';

// MODULES //

var isnan = require( '@stdlib/math/base/assert/is-nan' );
var abs = require( '@stdlib/math/base/special/abs' );
var exp = require( '@stdlib/math/base/special/exp' );
var pow = require( '@stdlib/math/base/special/pow' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var PINF = require( '@stdlib/constants/float64/pinf' );


// MAIN //

/**
* Evaluates the probability density function (PDF) for a logistic distribution with location parameter `mu` and scale parameter `s` at a value `x`.
*
* @param {number} x - input value
* @param {number} mu - location parameter
* @param {NonNegativeNumber} s - scale parameter
* @returns {number} evaluated PDF
*
* @example
* var y = pdf( 2.0, 0.0, 1.0 );
* // returns ~0.105
*
* @example
* var y = pdf( -1.0, 4.0, 2.0 );
* // returns ~0.035
*
* @example
* var y = pdf( NaN, 0.0, 1.0 );
* // returns NaN
*
* @example
* var y = pdf( 0.0, NaN, 1.0 );
* // returns NaN
*
* @example
* var y = pdf( 0.0, 0.0, NaN );
* // returns NaN
*
* @example
* // Negative scale parameter:
* var y = pdf( 2.0, 0.0, -1.0 );
* // returns NaN
*
* @example
* var y = pdf( 2.0, 8.0, 0.0 );
* // returns 0.0
*
* @example
* var y = pdf( 8.0, 8.0, 0.0 );
* // returns Infinity
*/
function pdf( x, mu, s ) {
	var ez;
	var z;
	if (
		isnan( x ) ||
		isnan( mu ) ||
		isnan( s ) ||
		s < 0.0
	) {
		return NaN;
	}
	if ( x === NINF ) {
		return 0.0;
	}
	if ( s === 0.0 ) {
		return ( x === mu ) ? PINF : 0.0;
	}
	z = abs( ( x - mu ) / s );
	ez = exp( -z );
	return ez / ( s * pow( 1.0 + ez, 2.0 ) );
}


// EXPORTS //

module.exports = pdf;