time-to-botec

Benchmark sampling in different programming languages
Log | Files | Refs | README

factory.js (1876B)


      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 isnan = require( '@stdlib/math/base/assert/is-nan' );
     25 var atan2 = require( '@stdlib/math/base/special/atan2' );
     26 
     27 
     28 // VARIABLES //
     29 
     30 var ONE_OVER_PI = 0.3183098861837907;
     31 
     32 
     33 // MAIN //
     34 
     35 /**
     36 * Returns a function for evaluating the cumulative distribution function (CDF) for a Cauchy distribution with location parameter `x0` and scale parameter `gamma`.
     37 *
     38 * @param {number} x0 - location parameter
     39 * @param {PositiveNumber} gamma - scale parameter
     40 * @returns {Function} CDF
     41 *
     42 * @example
     43 * var cdf = factory( 10.0, 2.0 );
     44 *
     45 * var y = cdf( 10.0 );
     46 * // returns 0.5
     47 *
     48 * y = cdf( 12.0 );
     49 * // returns 0.75
     50 */
     51 function factory( x0, gamma ) {
     52 	if (
     53 		isnan( gamma ) ||
     54 		isnan( x0 ) ||
     55 		gamma <= 0.0
     56 	) {
     57 		return constantFunction( NaN );
     58 	}
     59 	return cdf;
     60 
     61 	/**
     62 	* Evaluates the cumulative distribution function (CDF) for a Cauchy distribution.
     63 	*
     64 	* @private
     65 	* @param {number} x - input value
     66 	* @returns {Probability} evaluated CDF
     67 	*
     68 	* @example
     69 	* var y = cdf( 2.0 );
     70 	* // returns <number>
     71 	*/
     72 	function cdf( x ) {
     73 		if ( isnan( x ) ) {
     74 			return NaN;
     75 		}
     76 		return ( ONE_OVER_PI * atan2( x-x0, gamma ) ) + 0.5;
     77 	}
     78 }
     79 
     80 
     81 // EXPORTS //
     82 
     83 module.exports = factory;