quantile.js (2047B)
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 log1p = require( '@stdlib/math/base/special/log1p' ); 25 var ceil = require( '@stdlib/math/base/special/ceil' ); 26 var max = require( '@stdlib/math/base/special/max' ); 27 var ln = require( '@stdlib/math/base/special/ln' ); 28 var PINF = require( '@stdlib/constants/float64/pinf' ); 29 30 31 // MAIN // 32 33 /** 34 * Evaluates the quantile function for a geometric distribution with success probability `p` at a probability `r`. 35 * 36 * @param {Probability} r - input value 37 * @param {Probability} p - success probability 38 * @returns {NonNegativeInteger} evaluated quantile function 39 * 40 * @example 41 * var y = quantile( 0.8, 0.4 ); 42 * // returns 3 43 * 44 * @example 45 * var y = quantile( 0.5, 0.4 ); 46 * // returns 1 47 * 48 * @example 49 * var y = quantile( 0.9, 0.1 ); 50 * // returns 21 51 * 52 * @example 53 * var y = quantile( -0.2, 0.1 ); 54 * // returns NaN 55 * 56 * @example 57 * var y = quantile( NaN, 0.8 ); 58 * // returns NaN 59 * 60 * @example 61 * var y = quantile( 0.4, NaN ); 62 * // returns NaN 63 * 64 * @example 65 * var y = quantile( 0.5, -1.0 ); 66 * // returns NaN 67 * 68 * @example 69 * var y = quantile( 0.5, 1.5 ); 70 * // returns NaN 71 */ 72 function quantile( r, p ) { 73 if ( 74 isnan( p ) || 75 isnan( r ) || 76 p < 0.0 || 77 p > 1.0 || 78 r < 0.0 || 79 r > 1.0 80 ) { 81 return NaN; 82 } 83 if ( r === 1.0 ) { 84 return PINF; 85 } 86 return max( 0.0, ceil( (ln(1.0-r) / log1p(-p))- ( 1 + 1e-12 ) ) ); 87 } 88 89 90 // EXPORTS // 91 92 module.exports = quantile;