entropy.js (1911B)
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 isPositiveInteger = require( '@stdlib/math/base/assert/is-positive-integer' ); 24 var isnan = require( '@stdlib/math/base/assert/is-nan' ); 25 var digamma = require( '@stdlib/math/base/special/digamma' ); 26 var gamma = require( '@stdlib/math/base/special/gamma' ); 27 var ln = require( '@stdlib/math/base/special/ln' ); 28 29 30 // MAIN // 31 32 /** 33 * Returns the differential entropy of an Erlang distribution. 34 * 35 * @param {PositiveInteger} k - shape parameter 36 * @param {PositiveNumber} lambda - rate parameter 37 * @returns {number} differential entropy 38 * 39 * @example 40 * var v = entropy( 1, 1.0 ); 41 * // returns 1.0 42 * 43 * @example 44 * var v = entropy( 4, 12.0 ); 45 * // returns ~-0.462 46 * 47 * @example 48 * var v = entropy( 8, 2.0 ); 49 * // returns ~1.723 50 * 51 * @example 52 * var v = entropy( 1.5, 2.0 ); 53 * // returns NaN 54 * 55 * @example 56 * var v = entropy( 1, -0.1 ); 57 * // returns NaN 58 * 59 * @example 60 * var v = entropy( -0.1, 1.0 ); 61 * // returns NaN 62 * 63 * @example 64 * var v = entropy( 2, NaN ); 65 * // returns NaN 66 * 67 * @example 68 * var v = entropy( NaN, 2.0 ); 69 * // returns NaN 70 */ 71 function entropy( k, lambda ) { 72 if ( 73 !isPositiveInteger( k ) || 74 isnan( lambda ) || 75 lambda <= 0.0 76 ) { 77 return NaN; 78 } 79 return ( ( 1-k ) * digamma( k ) ) + ln( gamma( k ) / lambda ) + k; 80 } 81 82 83 // EXPORTS // 84 85 module.exports = entropy;