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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 | 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 3021x 3021x 3021x 1x 1x 1x 1x 1x | /** * @license Apache-2.0 * * Copyright (c) 2024 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 addon = require( './../src/addon.node' ); // MAIN // /** * Evaluates the natural logarithm of the probability density function (PDF) for a Weibull distribution with shape parameter `k` and scale parameter `lambda` at a value `x`. * * @private * @param {number} x - input value * @param {PositiveNumber} k - shape parameter * @param {PositiveNumber} lambda - scale parameter * @returns {number} evaluated logarithm of probability density function * * @example * var y = logpdf( 2.0, 1.0, 0.5 ); * // returns ~-3.307 * * @example * var y = logpdf( 0.1, 1.0, 1.0 ); * // returns ~-0.1 * * @example * var y = logpdf( -1.0, 4.0, 2.0 ); * // returns -Infinity * * @example * var y = logpdf( NaN, 0.6, 1.0 ); * // returns NaN * * @example * var y = logpdf( 0.0, NaN, 1.0 ); * // returns NaN * * @example * var y = logpdf( 0.0, 0.0, NaN ); * // returns NaN * * @example * var y = logpdf( 2.0, 0.0, -1.0 ); * // returns NaN */ function logpdf( x, k, lambda ) { return addon( x, k, lambda ); } // EXPORTS // module.exports = logpdf; |