time-to-botec

Benchmark sampling in different programming languages
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factory.js (1911B)


      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 betaincinv = require( '@stdlib/math/base/special/betaincinv' );
     25 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     26 
     27 
     28 // MAIN //
     29 
     30 /**
     31 * Returns a function for evaluating the quantile function for a beta distribution with first shape parameter `alpha` and second shape parameter `beta`.
     32 *
     33 * @param {PositiveNumber} alpha - first shape parameter
     34 * @param {PositiveNumber} beta - second shape parameter
     35 * @returns {Function} quantile function
     36 *
     37 * @example
     38 * var quantile = factory( 2.5, 0.5 );
     39 * var y = quantile( 0.5 );
     40 * // returns ~0.904
     41 *
     42 * y = quantile( 0.8 );
     43 * // returns ~0.986
     44 */
     45 function factory( alpha, beta ) {
     46 	if (
     47 		isnan( alpha ) ||
     48 		isnan( beta ) ||
     49 		alpha <= 0.0 ||
     50 		beta <= 0.0
     51 	) {
     52 		return constantFunction( NaN );
     53 	}
     54 	return quantile;
     55 
     56 	/**
     57 	* Evaluates the quantile function for a beta distribution.
     58 	*
     59 	* @private
     60 	* @param {Probability} p - input value
     61 	* @returns {number} evaluated quantile function
     62 	*
     63 	* @example
     64 	* var y = quantile( 0.3 );
     65 	* // returns <number>
     66 	*/
     67 	function quantile( p ) {
     68 		if (
     69 			isnan( p ) ||
     70 			p < 0.0 ||
     71 			p > 1.0
     72 		) {
     73 			return NaN;
     74 		}
     75 		return betaincinv( p, alpha, beta );
     76 	}
     77 }
     78 
     79 
     80 // EXPORTS //
     81 
     82 module.exports = factory;