time-to-botec

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

cdf.js (1732B)


      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 normalCDF = require( './../../../../../base/dists/normal/cdf' );
     24 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     25 var ln = require( '@stdlib/math/base/special/ln' );
     26 
     27 
     28 // MAIN //
     29 
     30 /**
     31 * Evaluates the cumulative distribution function (CDF) for a lognormal distribution with location parameter `mu` and scale parameter `sigma` at a value `x`.
     32 *
     33 * @param {number} x - input value
     34 * @param {number} mu - location parameter
     35 * @param {PositiveNumber} sigma - scale parameter
     36 * @returns {Probability} evaluated CDF
     37 *
     38 * @example
     39 * var y = cdf( 2.0, 0.0, 1.0 );
     40 * // returns ~0.756
     41 *
     42 * @example
     43 * var y = cdf( 5.0, 10.0, 3.0 );
     44 * // returns ~0.003
     45 *
     46 * @example
     47 * var y = cdf( 2.0, 0.0, NaN );
     48 * // returns NaN
     49 *
     50 * @example
     51 * var y = cdf( 2.0, NaN, 1.0 );
     52 * // returns NaN
     53 *
     54 * @example
     55 * var y = cdf( NaN, 0.0, 1.0 );
     56 * // returns NaN
     57 */
     58 function cdf( x, mu, sigma ) {
     59 	if (
     60 		isnan( x ) ||
     61 		isnan( mu ) ||
     62 		isnan( sigma ) ||
     63 		sigma <= 0.0
     64 	) {
     65 		return NaN;
     66 	}
     67 	if ( x <= 0.0 ) {
     68 		return 0.0;
     69 	}
     70 	return normalCDF( ln(x), mu, sigma );
     71 }
     72 
     73 
     74 // EXPORTS //
     75 
     76 module.exports = cdf;