time-to-botec

Benchmark sampling in different programming languages
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factory.js (2021B)


      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 isNonNegativeInteger = require( '@stdlib/math/base/assert/is-nonnegative-integer' );
     24 var constantFunction = require( '@stdlib/utils/constant-function' );
     25 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     26 var exp = require( '@stdlib/math/base/special/exp' );
     27 var pow = require( '@stdlib/math/base/special/pow' );
     28 var PINF = require( '@stdlib/constants/float64/pinf' );
     29 
     30 
     31 // MAIN //
     32 
     33 /**
     34 * Returns a function for evaluating the moment-generating function (MGF) of a binomial distribution with number of trials `n` and success probability `p`.
     35 *
     36 * @param {NonNegativeInteger} n - number of trials
     37 * @param {Probability} p - success probability
     38 * @returns {Function} MGF
     39 *
     40 * @example
     41 * var mgf = factory( 10, 0.5 );
     42 * var y = mgf( 0.3 );
     43 * // returns ~5.013
     44 */
     45 function factory( n, p ) {
     46 	if ( isnan( n ) ||
     47 		isnan( p ) ||
     48 		p < 0.0 ||
     49 		p > 1.0 ||
     50 		!isNonNegativeInteger( n ) ||
     51 		n === PINF
     52 	) {
     53 		return constantFunction( NaN );
     54 	}
     55 	return mgf;
     56 
     57 	/**
     58 	* Evaluates the moment-generating function (MGF) for a binomial distribution.
     59 	*
     60 	* @private
     61 	* @param {number} t - input value
     62 	* @returns {number} evaluated MGF
     63 	*
     64 	* @example
     65 	* var y = mgf( 0.5 );
     66 	* // returns <number>
     67 	*/
     68 	function mgf( t ) {
     69 		var base;
     70 		if ( isnan( t ) ) {
     71 			return NaN;
     72 		}
     73 		base = 1.0 - p + (p * exp(t));
     74 		return pow( base, n );
     75 	}
     76 }
     77 
     78 
     79 // EXPORTS //
     80 
     81 module.exports = factory;