time-to-botec

Benchmark sampling in different programming languages
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factory.js (2030B)


      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 betainc = require( '@stdlib/math/base/special/betainc' );
     25 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     26 var pow = require( '@stdlib/math/base/special/pow' );
     27 
     28 
     29 // MAIN //
     30 
     31 /**
     32 * Returns a function for evaluating the cumulative distribution function (CDF) for a Student's t distribution with degrees of freedom `v`.
     33 *
     34 * @param {PositiveNumber} v - degrees of freedom
     35 * @returns {Function} CDF
     36 *
     37 * @example
     38 * var cdf = factory( 0.5 );
     39 * var y = cdf( 3.0 );
     40 * // returns ~0.816
     41 *
     42 * y = cdf( 1.0 );
     43 * // returns ~0.699
     44 */
     45 function factory( v ) {
     46 	if ( isnan( v ) || v <= 0.0 ) {
     47 		return constantFunction( NaN );
     48 	}
     49 	return cdf;
     50 
     51 	/**
     52 	* Evaluates the cumulative distribution function (CDF) for a Student's t distribution.
     53 	*
     54 	* @private
     55 	* @param {number} x - input value
     56 	* @returns {Probability} evaluated CDF
     57 	*
     58 	* @example
     59 	* var y = cdf( 2.0 );
     60 	* // returns <number>
     61 	*/
     62 	function cdf( x ) {
     63 		var x2;
     64 		var p;
     65 		var z;
     66 		if ( isnan( x ) ) {
     67 			return NaN;
     68 		}
     69 		if ( x === 0.0 ) {
     70 			return 0.5;
     71 		}
     72 		x2 = pow( x, 2.0 );
     73 		if ( v > 2.0*x2 ) {
     74 			z = x2 / ( v + x2 );
     75 			p = betainc( z, 0.5, v/2.0, true, true ) / 2.0;
     76 		} else {
     77 			z = v / ( v + x2 );
     78 			p = betainc( z, v/2.0, 0.5, true, false ) / 2.0;
     79 		}
     80 		return ( x > 0.0 ) ? 1.0 - p : p;
     81 	}
     82 }
     83 
     84 
     85 // EXPORTS //
     86 
     87 module.exports = factory;