time-to-botec

Benchmark sampling in different programming languages
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logcdf.js (1871B)


      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 log1p = require( '@stdlib/math/base/special/log1p' );
     25 var exp = require( '@stdlib/math/base/special/exp' );
     26 var NINF = require( '@stdlib/constants/float64/ninf' );
     27 var PINF = require( '@stdlib/constants/float64/pinf' );
     28 
     29 
     30 // MAIN //
     31 
     32 /**
     33 * Evaluates the natural logarithm of the cumulative distribution function (CDF) for an exponential distribution with rate parameter `lambda` at a value `x`.
     34 *
     35 * @param {number} x - input value
     36 * @param {PositiveNumber} lambda - rate parameter
     37 * @returns {number} evaluated logCDF
     38 *
     39 * @example
     40 * var y = logcdf( 2.0, 0.1 );
     41 * // returns ~-1.708
     42 *
     43 * @example
     44 * var y = logcdf( 1.0, 2.0 );
     45 * // returns ~-0.145
     46 *
     47 * @example
     48 * var y = logcdf( -1.0, 4.0 );
     49 * // returns -Infinity
     50 *
     51 * @example
     52 * var y = logcdf( NaN, 1.0 );
     53 * // returns NaN
     54 *
     55 * @example
     56 * var y = logcdf( 0.0, NaN );
     57 * // returns NaN
     58 *
     59 * @example
     60 * // Negative rate parameter:
     61 * var y = logcdf( 2.0, -1.0 );
     62 * // returns NaN
     63 */
     64 function logcdf( x, lambda ) {
     65 	if (
     66 		isnan( lambda ) ||
     67 		lambda < 0.0 ||
     68 		lambda === PINF
     69 	) {
     70 		return NaN;
     71 	}
     72 	if ( x < 0.0 ) {
     73 		return NINF;
     74 	}
     75 	return log1p( -exp( -lambda * x ) );
     76 }
     77 
     78 
     79 // EXPORTS //
     80 
     81 module.exports = logcdf;