time-to-botec

Benchmark sampling in different programming languages
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factory.js (2122B)


      1 /**
      2 * @license Apache-2.0
      3 *
      4 * Copyright (c) 2018 The Stdlib Authors.
      5 *
      6 * Licensed under the Apache License, Version 2.0 (the "License");
      7 * you may not use this file except in compliance with the License.
      8 * You may obtain a copy of the License at
      9 *
     10 *    http://www.apache.org/licenses/LICENSE-2.0
     11 *
     12 * Unless required by applicable law or agreed to in writing, software
     13 * distributed under the License is distributed on an "AS IS" BASIS,
     14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     15 * See the License for the specific language governing permissions and
     16 * limitations under the License.
     17 */
     18 
     19 'use strict';
     20 
     21 // MODULES //
     22 
     23 var constantFunction = require( '@stdlib/utils/constant-function' );
     24 var degenerate = require( './../../../../../base/dists/degenerate/pdf' ).factory;
     25 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     26 var abs = require( '@stdlib/math/base/special/abs' );
     27 var exp = require( '@stdlib/math/base/special/exp' );
     28 var pow = require( '@stdlib/math/base/special/pow' );
     29 var NINF = require( '@stdlib/constants/float64/ninf' );
     30 
     31 
     32 // MAIN //
     33 
     34 /**
     35 * Returns a function for evaluating the probability density function (PDF) for a logistic distribution.
     36 *
     37 * @param {number} mu - location parameter
     38 * @param {NonNegativeNumber} s - scale parameter
     39 * @returns {Function} PDF
     40 *
     41 * @example
     42 * var pdf = factory( 10.0, 2.0 );
     43 * var y = pdf( 10.0 );
     44 * // returns 0.125
     45 *
     46 * y = pdf( 5.0 );
     47 * // returns ~0.035
     48 */
     49 function factory( mu, s ) {
     50 	if ( isnan( mu ) || isnan( s ) || s < 0.0 ) {
     51 		return constantFunction( NaN );
     52 	}
     53 	if ( s === 0.0 ) {
     54 		return degenerate( mu );
     55 	}
     56 	return pdf;
     57 
     58 	/**
     59 	* Evaluates the probability density function (PDF) for a logistic distribution.
     60 	*
     61 	* @private
     62 	* @param {number} x - input value
     63 	* @returns {number} evaluated PDF
     64 	*
     65 	* @example
     66 	* var y = pdf( -1.2 );
     67 	* // returns <number>
     68 	*/
     69 	function pdf( x ) {
     70 		var ez;
     71 		var z;
     72 		if ( isnan( x ) ) {
     73 			return NaN;
     74 		}
     75 		if ( x === NINF ) {
     76 			return 0.0;
     77 		}
     78 		z = abs( ( x - mu ) / s );
     79 		ez = exp( -z );
     80 		return ez / ( s * pow( 1.0 + ez, 2.0 ) );
     81 	}
     82 }
     83 
     84 
     85 // EXPORTS //
     86 
     87 module.exports = factory;