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Apache-2.0\n\nCopyright (c) 2018 The Stdlib Authors.\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n   http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n\n--\u003e\n\n\n\u003cdetails\u003e\n  \u003csummary\u003e\n    About stdlib...\n  \u003c/summary\u003e\n  \u003cp\u003eWe believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.\u003c/p\u003e\n  \u003cp\u003eThe library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.\u003c/p\u003e\n  \u003cp\u003eWhen you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.\u003c/p\u003e\n  \u003cp\u003eTo join us in bringing numerical computing to the web, get started by checking us out on \u003ca href=\"https://github.com/stdlib-js/stdlib\"\u003eGitHub\u003c/a\u003e, and please consider \u003ca href=\"https://opencollective.com/stdlib\"\u003efinancially supporting stdlib\u003c/a\u003e. We greatly appreciate your continued support!\u003c/p\u003e\n\u003c/details\u003e\n\n# Entropy\n\n[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] \u003c!-- [![dependencies][dependencies-image]][dependencies-url] --\u003e\n\n\u003e [Lognormal][lognormal-distribution] distribution [differential entropy][entropy].\n\n\u003c!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"intro\"\u003e\n\nThe [differential entropy][entropy] (in [nats][nats]) for a [lognormal][lognormal-distribution] random variable is\n\n\u003c!-- \u003cequation class=\"equation\" label=\"eq:lognormal_entropy\" align=\"center\" raw=\"h\\left( X \\right) = \\ln(\\sigma e^{\\mu +{\\tfrac{1}{2}}}{\\sqrt{2\\pi}})\" alt=\"Differential entropy for a lognormal distribution.\"\u003e --\u003e\n\n```math\nh\\left( X \\right) = \\ln(\\sigma e^{\\mu +{\\tfrac{1}{2}}}{\\sqrt{2\\pi}})\n```\n\n\u003c!-- \u003cdiv class=\"equation\" align=\"center\" data-raw-text=\"h\\left( X \\right) = \\ln(\\sigma e^{\\mu +{\\tfrac{1}{2}}}{\\sqrt{2\\pi}})\" data-equation=\"eq:lognormal_entropy\"\u003e\n    \u003cimg src=\"https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@51534079fef45e990850102147e8945fb023d1d0/lib/node_modules/@stdlib/stats/base/dists/lognormal/entropy/docs/img/equation_lognormal_entropy.svg\" alt=\"Differential entropy for a lognormal distribution.\"\u003e\n    \u003cbr\u003e\n\u003c/div\u003e --\u003e\n\n\u003c!-- \u003c/equation\u003e --\u003e\n\nwhere `μ` is the location parameter and `σ \u003e 0` is the scale parameter. According to the definition, the _natural logarithm_ of a random variable from a\n[lognormal distribution][lognormal-distribution] follows a [normal distribution][normal-distribution].\n\n\u003c/section\u003e\n\n\u003c!-- /.intro --\u003e\n\n\u003c!-- Package usage documentation. --\u003e\n\n\u003csection class=\"installation\"\u003e\n\n## Installation\n\n```bash\nnpm install @stdlib/stats-base-dists-lognormal-entropy\n```\n\nAlternatively,\n\n-   To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]).\n-   If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions).\n-   For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]).\n\nThe [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships.\n\nTo view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.\n\n\u003c/section\u003e\n\n\u003csection class=\"usage\"\u003e\n\n## Usage\n\n```javascript\nvar entropy = require( '@stdlib/stats-base-dists-lognormal-entropy' );\n```\n\n#### entropy( mu, sigma )\n\nReturns the [differential entropy][entropy] for a [lognormal][lognormal-distribution] distribution with location `mu` and scale `sigma` (in [nats][nats]).\n\n```javascript\nvar y = entropy( 2.0, 1.0 );\n// returns ~3.419\n\ny = entropy( 0.0, 1.0 );\n// returns ~1.419\n\ny = entropy( -1.0, 2.0 );\n// returns ~1.112\n```\n\nIf provided `NaN` as any argument, the function returns `NaN`.\n\n```javascript\nvar y = entropy( NaN, 1.0 );\n// returns NaN\n\ny = entropy( 0.0, NaN );\n// returns NaN\n```\n\nIf provided `sigma \u003c= 0`, the function returns `NaN`.\n\n```javascript\nvar y = entropy( 0.0, 0.0 );\n// returns NaN\n\ny = entropy( 0.0, -1.0 );\n// returns NaN\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003c!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"notes\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.notes --\u003e\n\n\u003c!-- Package usage examples. --\u003e\n\n\u003csection class=\"examples\"\u003e\n\n## Examples\n\n\u003c!-- eslint no-undef: \"error\" --\u003e\n\n```javascript\nvar uniform = require( '@stdlib/random-array-uniform' );\nvar logEachMap = require( '@stdlib/console-log-each-map' );\nvar entropy = require( '@stdlib/stats-base-dists-lognormal-entropy' );\n\nvar opts = {\n    'dtype': 'float64'\n};\nvar mu = uniform( 10, -5.0, 5.0, opts );\nvar sigma = uniform( 10, 0.0, 20.0, opts );\n\nlogEachMap( 'µ: %0.4f, σ: %0.4f, h(X;µ,σ): %0.4f', mu, sigma, entropy );\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\u003e\n\n\u003c!-- C interface documentation. --\u003e\n\n* * *\n\n\u003csection class=\"c\"\u003e\n\n## C APIs\n\n\u003c!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"intro\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.intro --\u003e\n\n\u003c!-- C usage documentation. --\u003e\n\n\u003csection class=\"usage\"\u003e\n\n### Usage\n\n```c\n#include \"stdlib/stats/base/dists/lognormal/entropy.h\"\n```\n\n#### stdlib_base_dists_lognormal_entropy( mu, sigma )\n\nReturns the differential entropy for a lognormal distribution with location `mu` and scale `sigma`.\n\n```c\ndouble out = stdlib_base_dists_lognormal_entropy( 0.0, 1.0 );\n// returns ~1.419\n```\n\nThe function accepts the following arguments:\n\n-   **mu**: `[in] double` location parameter.\n-   **sigma**: `[in] double` scale parameter.\n\n```c\ndouble stdlib_base_dists_lognormal_entropy( const double mu, const double sigma );\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003c!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"notes\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.notes --\u003e\n\n\u003c!-- C API usage examples. --\u003e\n\n\u003csection class=\"examples\"\u003e\n\n### Examples\n\n```c\n#include \"stdlib/stats/base/dists/lognormal/entropy.h\"\n#include \u003cstdlib.h\u003e\n#include \u003cstdio.h\u003e\n\nstatic double random_uniform( const double min, const double max ) {\n    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );\n    return min + ( v*(max-min) );\n}\n\nint main( void ) {\n    double sigma;\n    double mu;\n    double y;\n    int i;\n\n    for ( i = 0; i \u003c 10; i++ ) {\n        mu = random_uniform( -5.0, 5.0 );\n        sigma = random_uniform( 0.1, 20.0 );\n        y = stdlib_base_dists_lognormal_entropy( mu, sigma );\n        printf( \"µ: %.4f, σ: %.4f, h(X;µ,σ): %.4f\\n\", mu, sigma, y );\n    }\n}\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.c --\u003e\n\n\u003c!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. --\u003e\n\n\u003csection class=\"related\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.related --\u003e\n\n\u003c!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\n\u003csection class=\"main-repo\" \u003e\n\n* * *\n\n## Notice\n\nThis package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.\n\nFor more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].\n\n#### Community\n\n[![Chat][chat-image]][chat-url]\n\n---\n\n## License\n\nSee [LICENSE][stdlib-license].\n\n\n## Copyright\n\nCopyright \u0026copy; 2016-2026. The Stdlib [Authors][stdlib-authors].\n\n\u003c/section\u003e\n\n\u003c!-- /.stdlib --\u003e\n\n\u003c!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"links\"\u003e\n\n[npm-image]: http://img.shields.io/npm/v/@stdlib/stats-base-dists-lognormal-entropy.svg\n[npm-url]: https://npmjs.org/package/@stdlib/stats-base-dists-lognormal-entropy\n\n[test-image]: https://github.com/stdlib-js/stats-base-dists-lognormal-entropy/actions/workflows/test.yml/badge.svg?branch=v0.3.1\n[test-url]: https://github.com/stdlib-js/stats-base-dists-lognormal-entropy/actions/workflows/test.yml?query=branch:v0.3.1\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-base-dists-lognormal-entropy/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/stats-base-dists-lognormal-entropy?branch=main\n\n\u003c!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/stats-base-dists-lognormal-entropy.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/stats-base-dists-lognormal-entropy/main\n\n--\u003e\n\n[chat-image]: https://img.shields.io/badge/zulip-join_chat-brightgreen.svg\n[chat-url]: https://stdlib.zulipchat.com\n\n[stdlib]: https://github.com/stdlib-js/stdlib\n\n[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors\n\n[umd]: https://github.com/umdjs/umd\n[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules\n\n[deno-url]: https://github.com/stdlib-js/stats-base-dists-lognormal-entropy/tree/deno\n[deno-readme]: https://github.com/stdlib-js/stats-base-dists-lognormal-entropy/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/stats-base-dists-lognormal-entropy/tree/umd\n[umd-readme]: https://github.com/stdlib-js/stats-base-dists-lognormal-entropy/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/stats-base-dists-lognormal-entropy/tree/esm\n[esm-readme]: https://github.com/stdlib-js/stats-base-dists-lognormal-entropy/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/stats-base-dists-lognormal-entropy/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-base-dists-lognormal-entropy/main/LICENSE\n\n[lognormal-distribution]: https://en.wikipedia.org/wiki/Log-normal_distribution\n\n[normal-distribution]: https://en.wikipedia.org/wiki/Normal_distribution\n\n[entropy]: https://en.wikipedia.org/wiki/Entropy_%28information_theory%29\n\n[nats]: https://en.wikipedia.org/wiki/Nat_%28unit%29\n\n\u003c/section\u003e\n\n\u003c!-- /.links --\u003e\n","funding_links":["https://github.com/sponsors/stdlib-js","https://opencollective.com/stdlib","https://tidelift.com/funding/github/npm/@stdlib/stdlib"],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fstats-base-dists-lognormal-entropy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstdlib-js%2Fstats-base-dists-lognormal-entropy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fstats-base-dists-lognormal-entropy/lists"}