quantile.js (2082B)
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 pow = require( '@stdlib/math/base/special/pow' ); 25 26 27 // MAIN // 28 29 /** 30 * Evaluates the quantile function for a Kumaraswamy's double bounded distribution with first shape parameter `a` and second shape parameter `b` at a probability `p`. 31 * 32 * @param {Probability} p - input probability 33 * @param {PositiveNumber} a - first shape parameter 34 * @param {PositiveNumber} b - second shape parameter 35 * @returns {number} evaluated quantile function 36 * 37 * @example 38 * var y = quantile( 0.5, 1.0, 1.0 ); 39 * // returns 0.5 40 * 41 * @example 42 * var y = quantile( 0.5, 2.0, 4.0 ); 43 * // returns ~0.399 44 * 45 * @example 46 * var y = quantile( 0.2, 2.0, 2.0 ); 47 * // returns ~0.325 48 * 49 * @example 50 * var y = quantile( 0.8, 4.0, 4.0 ); 51 * // returns ~0.759 52 * 53 * @example 54 * var y = quantile( -0.5, 4.0, 2.0 ); 55 * // returns NaN 56 * 57 * @example 58 * var y = quantile( 0.8, -1.0, 0.5 ); 59 * // returns NaN 60 * 61 * @example 62 * var y = quantile( 0.8, 0.5, -1.0 ); 63 * // returns NaN 64 * 65 * @example 66 * var y = quantile( NaN, 1.0, 1.0 ); 67 * // returns NaN 68 * 69 * @example 70 * var y = quantile( 0.1, NaN, 1.0 ); 71 * // returns NaN 72 * 73 * @example 74 * var y = quantile( 0.1, 1.0, NaN ); 75 * // returns NaN 76 */ 77 function quantile( p, a, b ) { 78 if ( 79 isnan( p ) || 80 isnan( a ) || 81 isnan( b ) || 82 a <= 0.0 || 83 b <= 0.0 || 84 p < 0.0 || 85 p > 1.0 86 ) { 87 return NaN; 88 } 89 return pow( 1.0 - pow( 1.0-p, 1.0/b ), 1.0/a ); 90 } 91 92 93 // EXPORTS // 94 95 module.exports = quantile;