time-to-botec

Benchmark sampling in different programming languages
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factory.js (2137B)


      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/logpdf' ).factory;
     25 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     26 var cospi = require( '@stdlib/math/base/special/cospi' );
     27 var ln = require( '@stdlib/math/base/special/ln' );
     28 var NINF = require( '@stdlib/constants/float64/ninf' );
     29 
     30 
     31 // MAIN //
     32 
     33 /**
     34 * Returns a function for evaluating the logarithm of the probability density function (PDF) for a raised cosine distribution.
     35 *
     36 * @param {number} mu - location parameter
     37 * @param {NonNegativeNumber} s - scale parameter
     38 * @returns {Function} logPDF
     39 *
     40 * @example
     41 * var logpdf = factory( 10.0, 2.0 );
     42 * var y = logpdf( 10.0 );
     43 * // returns ~-0.693
     44 *
     45 * y = logpdf( 9.0 );
     46 * // returns ~-1.386
     47 */
     48 function factory( mu, s ) {
     49 	if ( isnan( mu ) || isnan( s ) || s < 0.0 ) {
     50 		return constantFunction( NaN );
     51 	}
     52 	if ( s === 0.0 ) {
     53 		return degenerate( mu );
     54 	}
     55 	return logpdf;
     56 
     57 	/**
     58 	* Evaluates the logarithm of the probability density function (PDF) for a raised cosine distribution.
     59 	*
     60 	* @private
     61 	* @param {number} x - input value
     62 	* @returns {number} evaluated logPDF
     63 	*
     64 	* @example
     65 	* var y = logpdf( -1.2 );
     66 	* // returns <number>
     67 	*/
     68 	function logpdf( x ) {
     69 		var z;
     70 		if ( isnan( x ) ) {
     71 			return NaN;
     72 		}
     73 		if (
     74 			x < mu - s ||
     75 			x > mu + s
     76 		) {
     77 			return NINF;
     78 		}
     79 		z = ( x - mu ) / s;
     80 		return ln( 1.0 + cospi( z ) ) - ln( 2.0 * s );
     81 	}
     82 }
     83 
     84 
     85 // EXPORTS //
     86 
     87 module.exports = factory;