quantile.js (2020B)
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 betaincinv = require( '@stdlib/math/base/special/betaincinv' ); 24 var isnan = require( '@stdlib/math/base/assert/is-nan' ); 25 26 27 // MAIN // 28 29 /** 30 * Evaluates the quantile function for a beta distribution with first shape parameter `alpha` and second shape parameter `beta` at a probability `p`. 31 * 32 * @param {Probability} p - input value 33 * @param {PositiveNumber} alpha - first shape parameter 34 * @param {PositiveNumber} beta - second shape parameter 35 * @returns {number} evaluated quantile function 36 * 37 * @example 38 * var y = quantile( 0.8, 2.0, 1.0 ); 39 * // returns ~0.894 40 * 41 * @example 42 * var y = quantile( 0.5, 4.0, 2.0 ); 43 * // returns ~0.686 44 * 45 * @example 46 * var y = quantile( 1.1, 1.0, 1.0 ); 47 * // returns NaN 48 * 49 * @example 50 * var y = quantile( -0.2, 1.0, 1.0 ); 51 * // returns NaN 52 * 53 * @example 54 * var y = quantile( NaN, 1.0, 1.0 ); 55 * // returns NaN 56 * 57 * @example 58 * var y = quantile( 0.5, NaN, 1.0 ); 59 * // returns NaN 60 * 61 * @example 62 * var y = quantile( 0.5, 1.0, NaN ); 63 * // returns NaN 64 * 65 * @example 66 * var y = quantile( 0.5, -1.0, 1.0 ); 67 * // returns NaN 68 * 69 * @example 70 * var y = quantile( 0.5, 1.0, -1.0 ); 71 * // returns NaN 72 */ 73 function quantile( p, alpha, beta ) { 74 if ( 75 isnan( p ) || 76 isnan( alpha ) || 77 isnan( beta ) || 78 alpha <= 0.0 || 79 beta <= 0.0 || 80 p < 0.0 || 81 p > 1.0 82 ) { 83 return NaN; 84 } 85 return betaincinv( p, alpha, beta ); 86 } 87 88 89 // EXPORTS // 90 91 module.exports = quantile;