time-to-botec

Benchmark sampling in different programming languages
Log | Files | Refs | README

factory.js (2066B)


      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/cdf' ).factory;
     25 var gammainc = require( '@stdlib/math/base/special/gammainc' );
     26 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     27 var floor = require( '@stdlib/math/base/special/floor' );
     28 var PINF = require( '@stdlib/constants/float64/pinf' );
     29 
     30 
     31 // MAIN //
     32 
     33 /**
     34 * Returns a function for evaluating the cumulative distribution function (CDF) for a Poisson distribution with mean parameter `lambda`.
     35 *
     36 * @param {NonNegativeNumber} lambda - mean parameter
     37 * @returns {Function} CDF
     38 *
     39 * @example
     40 * var cdf = factory( 5.0 );
     41 * var y = cdf( 3.0 );
     42 * // returns ~0.265
     43 *
     44 * y = cdf( 8.0 );
     45 * // returns ~0.932
     46 */
     47 function factory( lambda ) {
     48 	if ( isnan( lambda ) || lambda < 0.0 ) {
     49 		return constantFunction( NaN );
     50 	}
     51 	if ( lambda === 0.0 ) {
     52 		return degenerate( 0.0 );
     53 	}
     54 	return cdf;
     55 
     56 	/**
     57 	* Evaluates the cumulative distribution function (CDF) for a Poisson distribution.
     58 	*
     59 	* @private
     60 	* @param {number} x - input value
     61 	* @returns {Probability} evaluated CDF
     62 	*
     63 	* @example
     64 	* var y = cdf( 2.0 );
     65 	* // returns <number>
     66 	*/
     67 	function cdf( x ) {
     68 		if ( isnan( x ) ) {
     69 			return NaN;
     70 		}
     71 		if ( x < 0.0 ) {
     72 			return 0.0;
     73 		}
     74 		if ( x === PINF ) {
     75 			return 1.0;
     76 		}
     77 		return gammainc( lambda, floor( x ) + 1.0, true, true );
     78 	}
     79 }
     80 
     81 
     82 // EXPORTS //
     83 
     84 module.exports = factory;