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 | 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 3012x 3012x 3012x 3012x 3012x 3008x 3012x 10x 10x 3002x 3012x 2x 2x 2x 2x 2x | /** * @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 isnan = require( '@stdlib/math/base/assert/is-nan' ); var atan2 = require( '@stdlib/math/base/special/atan2' ); var ln = require( '@stdlib/math/base/special/ln' ); // VARIABLES // var ONE_OVER_PI = 0.3183098861837907; // MAIN // /** * Evaluates the natural logarithm of the cumulative distribution function (logCDF) for a Cauchy distribution with location parameter `x0` and scale parameter `gamma` at a value `x`. * * @param {number} x - input value * @param {number} x0 - location parameter * @param {PositiveNumber} gamma - scale parameter * @returns {number} evaluated logCDF * * @example * var y = logcdf( 4.0, 0.0, 2.0 ); * // returns ~-0.16 * * @example * var y = logcdf( 1.0, 0.0, 2.0 ); * // returns ~-0.435 * * @example * var y = logcdf( 1.0, 3.0, 2.0 ); * // returns ~-1.386 * * @example * var y = logcdf( NaN, 0.0, 2.0 ); * // returns NaN * * @example * var y = logcdf( 1.0, 2.0, NaN ); * // returns NaN * * @example * var y = logcdf( 1.0, NaN, 3.0 ); * // returns NaN */ function logcdf( x, x0, gamma ) { if ( isnan( x ) || isnan( gamma ) || isnan( x0 ) || gamma <= 0.0 ) { return NaN; } return ln( ( ONE_OVER_PI * atan2( x-x0, gamma ) ) + 0.5 ); } // EXPORTS // module.exports = logcdf; |