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 | 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 2009x 2009x 4x 4x 2009x 2001x 2001x 4x 2009x 2x 2x 2x 2x 2x | /** * @license Apache-2.0 * * Copyright (c) 2025 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 isNonNegativeInteger = require( '@stdlib/math/base/assert/is-nonnegative-integer' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var expm1 = require( '@stdlib/math/base/special/expm1' ); var ln = require( '@stdlib/math/base/special/ln' ); var NINF = require( '@stdlib/constants/float64/ninf' ); // MAIN // /** * Evaluates the logarithm of the probability mass function (PMF) for a Planck distribution with shape parameter `lambda` at a value `x`. * * @param {number} x - input value * @param {PositiveNumber} lambda - shape parameter * @returns {NonPositiveNumber} logarithm of PMF * * @example * var y = logpmf( 4.0, 0.3 ); * // returns ~-2.5502 * * @example * var y = logpmf( 2.0, 1.7 ); * // returns ~-3.6017 * * @example * var y = logpmf( -1.0, 2.5 ); * // returns -Infinity * * @example * var y = logpmf( 0.0, NaN ); * // returns NaN * * @example * var y = logpmf( NaN, 0.5 ); * // returns NaN * * @example * // Invalid shape parameter: * var y = logpmf( 2.0, -1.0 ); * // returns NaN */ function logpmf( x, lambda ) { if ( isnan( x ) || isnan( lambda ) || lambda <= 0.0 ) { return NaN; } if ( isNonNegativeInteger( x ) ) { return ln( -expm1( -lambda ) ) - ( lambda * x ); } return NINF; } // EXPORTS // module.exports = logpmf; |