time-to-botec

Benchmark sampling in different programming languages
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factory.js (1977B)


      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/logcdf' ).factory;
     25 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     26 var log1pexp = require( './log1pexp.js' );
     27 
     28 
     29 // MAIN //
     30 
     31 /**
     32 * Returns a function for evaluating the logarithm of the cumulative distribution function (CDF) for a logistic distribution with location parameter `mu` and scale parameter `s`.
     33 *
     34 * @param {number} mu - location parameter
     35 * @param {NonNegativeNumber} s - scale parameter
     36 * @returns {Function} logCDF
     37 *
     38 * @example
     39 * var logcdf = factory( 3.0, 1.5 );
     40 *
     41 * var y = logcdf( 1.0 );
     42 * // returns ~-1.567
     43 *
     44 * y = logcdf( 4.0 );
     45 * // returns ~-0.414
     46 */
     47 function factory( mu, s ) {
     48 	if ( isnan( mu ) || isnan( s ) || s < 0.0 ) {
     49 		return constantFunction( NaN );
     50 	}
     51 	if ( s === 0.0 ) {
     52 		return degenerate( mu );
     53 	}
     54 	return logcdf;
     55 
     56 	/**
     57 	* Evaluates the logarithm of the cumulative distribution function (CDF) for a logistic distribution.
     58 	*
     59 	* @private
     60 	* @param {number} x - input value
     61 	* @returns {number} evaluated logCDF
     62 	*
     63 	* @example
     64 	* var y = logcdf( 2.0 );
     65 	* // returns <number>
     66 	*/
     67 	function logcdf( x ) {
     68 		var z;
     69 		if ( isnan( x ) ) {
     70 			return NaN;
     71 		}
     72 		z = ( x - mu ) / s;
     73 		return -log1pexp( -z );
     74 	}
     75 }
     76 
     77 
     78 // EXPORTS //
     79 
     80 module.exports = factory;