time-to-botec

Benchmark sampling in different programming languages
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factory.js (1703B)


      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 isProbability = require( '@stdlib/math/base/assert/is-probability' );
     25 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     26 var exp = require( '@stdlib/math/base/special/exp' );
     27 
     28 
     29 // MAIN //
     30 
     31 /**
     32 * Returns a function for evaluating the moment-generating function (MGF) of a Bernoulli distribution with success probability `p`.
     33 *
     34 * @param {Probability} p - success probability
     35 * @returns {Function} MGF
     36 *
     37 * @example
     38 * var mgf = factory( 0.8 );
     39 * var y = mgf( -0.2 );
     40 * // returns ~0.855
     41 */
     42 function factory( p ) {
     43 	if ( !isProbability( p ) ) {
     44 		return constantFunction( NaN );
     45 	}
     46 	return mgf;
     47 
     48 	/**
     49 	* Evaluates the moment-generating function (MGF) for a Bernoulli distribution.
     50 	*
     51 	* @private
     52 	* @param {number} t - input value
     53 	* @returns {number} evaluated MGF
     54 	*
     55 	* @example
     56 	* var y = mgf( 0.5 );
     57 	* // returns <number>
     58 	*/
     59 	function mgf( t ) {
     60 		if ( isnan( t ) ) {
     61 			return NaN;
     62 		}
     63 		return ( 1.0-p ) + ( p * exp( t ) );
     64 	}
     65 }
     66 
     67 
     68 // EXPORTS //
     69 
     70 module.exports = factory;