time-to-botec

Benchmark sampling in different programming languages
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logcdf.js (1940B)


      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 isnan = require( '@stdlib/math/base/assert/is-nan' );
     24 var expm1 = require( '@stdlib/math/base/special/expm1' );
     25 var log1p = require( '@stdlib/math/base/special/log1p' );
     26 var LNHALF = require( '@stdlib/constants/float64/ln-half' );
     27 
     28 
     29 // MAIN //
     30 
     31 /**
     32 * Evaluates the logarithm of the cumulative distribution function (CDF) for a Laplace distribution with location parameter `mu` and scale parameter `b` at value `x`.
     33 *
     34 * @param {number} x - input value
     35 * @param {number} mu - location parameter
     36 * @param {PositiveNumber} b - scale parameter
     37 * @returns {number} evaluated logarithm of CDF
     38 *
     39 * @example
     40 * var y = logcdf( 2.0, 0.0, 1.0 );
     41 * // returns ~-0.07
     42 *
     43 * @example
     44 * var y = logcdf( 5.0, 10.0, 3.0 );
     45 * // returns ~-2.36
     46 *
     47 * @example
     48 * var y = logcdf( NaN, 0.0, 1.0 );
     49 * // returns NaN
     50 *
     51 * @example
     52 * var y = logcdf( 2, NaN, 1.0 );
     53 * // returns NaN
     54 *
     55 * @example
     56 * var y = logcdf( 2.0, 0.0, NaN );
     57 * // returns NaN
     58 *
     59 * @example
     60 * // Negative scale parameter:
     61 * var y = logcdf( 2.0, 0.0, -1.0 );
     62 * // returns NaN
     63 */
     64 function logcdf( x, mu, b ) {
     65 	var z;
     66 	if (
     67 		isnan( x ) ||
     68 		isnan( mu ) ||
     69 		isnan( b ) ||
     70 		b <= 0.0
     71 	) {
     72 		return NaN;
     73 	}
     74 	z = ( x - mu ) / b;
     75 	if ( x < mu ) {
     76 		return LNHALF + z;
     77 	}
     78 	return LNHALF + log1p( -expm1( -z ) );
     79 }
     80 
     81 
     82 // EXPORTS //
     83 
     84 module.exports = logcdf;