time-to-botec

Benchmark sampling in different programming languages
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factory.js (2068B)


      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 degenerate = require( './../../../../../base/dists/degenerate/pdf' ).factory;
     25 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     26 var PINF = require( '@stdlib/constants/float64/pinf' );
     27 var gammaDeriv = require( './gamma_p_derivative.js' );
     28 
     29 
     30 // MAIN //
     31 
     32 /**
     33 * Returns a function for evaluating the probability density function (PDF) for a gamma distribution with shape parameter `alpha` and rate parameter `beta`.
     34 *
     35 * @param {NonNegativeNumber} alpha - shape parameter
     36 * @param {PositiveNumber} beta - rate parameter
     37 * @returns {Function} PDF
     38 *
     39 * @example
     40 * var pdf = factory( 3.0, 1.5 );
     41 *
     42 * var y = pdf( 1.0 );
     43 * // returns ~0.377
     44 *
     45 * y = pdf( 4.0 );
     46 * // returns ~0.067
     47 */
     48 function factory( alpha, beta ) {
     49 	if (
     50 		isnan( alpha ) ||
     51 		isnan( beta ) ||
     52 		alpha < 0.0 ||
     53 		beta <= 0.0
     54 	) {
     55 		return constantFunction( NaN );
     56 	}
     57 	if ( alpha === 0.0 ) {
     58 		return degenerate( 0.0 );
     59 	}
     60 	return pdf;
     61 
     62 	/**
     63 	* Evaluates the probability density function (PDF) for a gamma distribution.
     64 	*
     65 	* @private
     66 	* @param {number} x - input value
     67 	* @returns {number} evaluated PDF
     68 	*
     69 	* @example
     70 	* var y = pdf( -1.2 );
     71 	* // returns <number>
     72 	*/
     73 	function pdf( x ) {
     74 		if ( isnan( x ) ) {
     75 			return NaN;
     76 		}
     77 		if ( x < 0.0 || x === PINF ) {
     78 			return 0.0;
     79 		}
     80 		return gammaDeriv( alpha, x * beta ) * beta;
     81 	}
     82 }
     83 
     84 
     85 // EXPORTS //
     86 
     87 module.exports = factory;