time-to-botec

Benchmark sampling in different programming languages
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factory.js (1893B)


      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 exp = require( '@stdlib/math/base/special/exp' );
     26 var pow = require( '@stdlib/math/base/special/pow' );
     27 var ln = require( '@stdlib/math/base/special/ln' );
     28 
     29 
     30 // MAIN //
     31 
     32 /**
     33 * Returns a function for evaluating the moment-generating function (MGF) of a negative binomial distribution.
     34 *
     35 * @param {PositiveNumber} r - number of successes until experiment is stopped
     36 * @param {Probability} p - success probability
     37 * @returns {Function} MGF
     38 *
     39 * @example
     40 * var mgf = factory( 4.3, 0.4 );
     41 * var y = mgf( 0.2 );
     42 * // returns ~4.696
     43 */
     44 function factory( r, p ) {
     45 	if (
     46 		isnan( r ) ||
     47 		isnan( p ) ||
     48 		r <= 0.0 ||
     49 		p < 0.0 ||
     50 		p > 1.0
     51 	) {
     52 		return constantFunction( NaN );
     53 	}
     54 	return mgf;
     55 
     56 	/**
     57 	* Evaluates the moment-generating function (MGF) for a negative binomial distribution.
     58 	*
     59 	* @private
     60 	* @param {number} t - input value
     61 	* @returns {number} evaluated MGF
     62 	*
     63 	* @example
     64 	* var y = mgf( 0.5 );
     65 	* // returns <number>
     66 	*/
     67 	function mgf( t ) {
     68 		if ( t >= -ln( p ) ) {
     69 			return NaN;
     70 		}
     71 		return pow( ( (1.0 - p) * exp( t ) ) / ( 1.0 - (p * exp( t )) ), r );
     72 	}
     73 }
     74 
     75 
     76 // EXPORTS //
     77 
     78 module.exports = factory;