quantile.js (2045B)
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 signum = require( '@stdlib/math/base/special/signum' ); 24 var isnan = require( '@stdlib/math/base/assert/is-nan' ); 25 var abs = require( '@stdlib/math/base/special/abs' ); 26 var ln = require( '@stdlib/math/base/special/ln' ); 27 28 29 // MAIN // 30 31 /** 32 * Evaluates the quantile function for a Laplace distribution with location parameter `mu` and scale parameter `b` at a probability `p`. 33 * 34 * @param {Probability} p - input value 35 * @param {number} mu - location parameter 36 * @param {PositiveNumber} b - scale parameter 37 * @returns {number} evaluated quantile function 38 * 39 * @example 40 * var y = quantile( 0.8, 0.0, 1.0 ); 41 * // returns ~0.916 42 * 43 * @example 44 * var y = quantile( 0.5, 4.0, 2.0 ); 45 * // returns 4.0 46 * 47 * @example 48 * var y = quantile( 1.1, 0.0, 1.0 ); 49 * // returns NaN 50 * 51 * @example 52 * var y = quantile( -0.2, 0.0, 1.0 ); 53 * // returns NaN 54 * 55 * @example 56 * var y = quantile( NaN, 0.0, 1.0 ); 57 * // returns NaN 58 * 59 * @example 60 * var y = quantile( 0.0, NaN, 1.0 ); 61 * // returns NaN 62 * 63 * @example 64 * var y = quantile( 0.0, 0.0, NaN ); 65 * // returns NaN 66 * 67 * @example 68 * // Negative scale parameter: 69 * var y = quantile( 0.5, 0.0, -1.0 ); 70 * // returns NaN 71 */ 72 function quantile( p, mu, b ) { 73 if ( 74 isnan( mu ) || 75 isnan( b ) || 76 isnan( p ) || 77 b <= 0.0 || 78 p < 0.0 || 79 p > 1.0 80 ) { 81 return NaN; 82 } 83 return mu - ( b * signum( p-0.5 ) * ln( 1.0 - ( 2.0 * abs( p-0.5 ) ) ) ); 84 } 85 86 87 // EXPORTS // 88 89 module.exports = quantile;