cdf.js (2041B)
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 gammainc = require( '@stdlib/math/base/special/gammainc' ); 24 var isnan = require( '@stdlib/math/base/assert/is-nan' ); 25 26 27 // MAIN // 28 29 /** 30 * Evaluates the cumulative distribution function (CDF) for an inverse gamma distribution with shape parameter `alpha` and scale parameter `beta` at a value `x`. 31 * 32 * @param {number} x - input value 33 * @param {PositiveNumber} alpha - shape parameter 34 * @param {PositiveNumber} beta - scale parameter 35 * @returns {Probability} evaluated CDF 36 * 37 * @example 38 * var y = cdf( 2.0, 1.0, 1.0 ); 39 * // returns ~0.607 40 * 41 * @example 42 * var y = cdf( 2.0, 3.0, 1.0 ); 43 * // returns ~0.986 44 * 45 * @example 46 * var y = cdf( -1.0, 2.0, 2.0 ); 47 * // returns 0.0 48 * 49 * @example 50 * var y = cdf( +Infinity, 4.0, 2.0 ); 51 * // returns 1.0 52 * 53 * @example 54 * var y = cdf( -Infinity, 4.0, 2.0 ); 55 * // returns 0.0 56 * 57 * @example 58 * var y = cdf( NaN, 0.0, 1.0 ); 59 * // returns NaN 60 * 61 * @example 62 * var y = cdf( 0.0, NaN, 1.0 ); 63 * // returns NaN 64 * 65 * @example 66 * var y = cdf( 0.0, 0.0, NaN ); 67 * // returns NaN 68 * 69 * @example 70 * var y = cdf( 2.0, -1.0, 1.0 ); 71 * // returns NaN 72 * 73 * @example 74 * var y = cdf( 2.0, 1.0, -1.0 ); 75 * // returns NaN 76 */ 77 function cdf( x, alpha, beta ) { 78 if ( 79 isnan( x ) || 80 isnan( alpha ) || 81 isnan( beta ) || 82 alpha <= 0.0 || 83 beta <= 0.0 84 ) { 85 return NaN; 86 } 87 if ( x <= 0.0 ) { 88 return 0.0; 89 } 90 return gammainc( beta / x, alpha, true, true ); 91 } 92 93 94 // EXPORTS // 95 96 module.exports = cdf;