time-to-botec

Benchmark sampling in different programming languages
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factory.js (1999B)


      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 ldfrechet = require( './../../../../../base/dists/frechet/logpdf' ).factory;
     25 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     26 var exp = require( '@stdlib/math/base/special/exp' );
     27 
     28 
     29 // MAIN //
     30 
     31 /**
     32 * Returns a function for evaluating the probability density function (PDF) for a Fréchet distribution with shape `alpha`, scale `s`, and location `m`.
     33 *
     34 * @param {PositiveNumber} alpha - shape parameter
     35 * @param {PositiveNumber} s - scale parameter
     36 * @param {number} m - location parameter
     37 * @returns {Function} PDF
     38 *
     39 * @example
     40 * var pdf = factory( 3.0, 3.0, 5.0 );
     41 *
     42 * var y = pdf( 10.0 );
     43 * // returns ~0.104
     44 *
     45 * y = pdf( 7.0 );
     46 * // returns ~0.173
     47 */
     48 function factory( alpha, s, m ) {
     49 	var logpdf;
     50 	if (
     51 		isnan( alpha ) ||
     52 		isnan( s ) ||
     53 		isnan( m ) ||
     54 		alpha <= 0.0 ||
     55 		s <= 0.0
     56 	) {
     57 		return constantFunction( NaN );
     58 	}
     59 	logpdf = ldfrechet( alpha, s, m );
     60 	return pdf;
     61 
     62 	/**
     63 	* Evaluates the probability density function (PDF) for a Fréchet distribution.
     64 	*
     65 	* @private
     66 	* @param {number} x - input value
     67 	* @returns {number} evaluated PDF
     68 	*
     69 	* @example
     70 	* var y = pdf( -2.0 );
     71 	* // returns <number>
     72 	*/
     73 	function pdf( x ) {
     74 		if ( isnan( x ) ) {
     75 			return NaN;
     76 		}
     77 		return exp( logpdf( x, alpha, s, m ) );
     78 	}
     79 }
     80 
     81 
     82 // EXPORTS //
     83 
     84 module.exports = factory;