Press n or j to go to the next uncovered block, b, p or k for the previous block.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 | 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3014x 3014x 3014x 3014x 3009x 3014x 10x 10x 3004x 3004x 3004x 3004x 3004x 3004x 3004x 3004x 3004x 3004x 3004x 3004x 3004x 3004x 3003x 3003x 1x 1x 3002x 3003x 2095x 2095x 907x 3003x 3014x 3x 3x 3x 3x 3x | /** * @license Apache-2.0 * * Copyright (c) 2018 The Stdlib Authors. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ 'use strict'; // MODULES // var constantFunction = require( '@stdlib/utils/constant-function' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var exp = require( '@stdlib/math/base/special/exp' ); // MAIN // /** * Returns a function for evaluating the cumulative distribution function (CDF) for a Laplace distribution with location parameter `mu` and scale parameter `b`. * * @param {number} mu - location parameter * @param {PositiveNumber} b - scale parameter * @returns {Function} CDF * * @example * var cdf = factory( 3.0, 1.5 ); * * var y = cdf( 1.0 ); * // returns ~0.132 * * y = cdf( 4.0 ); * // returns ~0.743 */ function factory( mu, b ) { if ( isnan( mu ) || isnan( b ) || b <= 0.0 ) { return constantFunction( NaN ); } return cdf; /** * Evaluates the cumulative distribution function (CDF) for a Laplace distribution. * * @private * @param {number} x - input value * @returns {Probability} evaluated CDF * * @example * var y = cdf( 2.0 ); * // returns <number> */ function cdf( x ) { var z; if ( isnan( x ) ) { return NaN; } z = ( x - mu ) / b; if ( x < mu ) { return 0.5 * exp( z ); } return 1.0 - (0.5 * exp( -z )); } } // EXPORTS // module.exports = factory; |