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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# Pseudorandom Number Generators\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 Base (i.e., lower-level) pseudorandom number generators (PRNGs).\n\n\u003csection class=\"installation\"\u003e\n\n## Installation\n\n```bash\nnpm install @stdlib/random-base\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 random = require( '@stdlib/random-base' );\n```\n\n#### random\n\nNamespace containing \"base\" (i.e., lower-level) pseudorandom number generators (PRNGs).\n\n```javascript\nvar ns = random;\n// returns {...}\n```\n\nThe namespace contains the following PRNGs:\n\n\u003c!-- \u003ctoc pattern=\"*\"\u003e --\u003e\n\n\u003cdiv class=\"namespace-toc\"\u003e\n\n-   \u003cspan class=\"signature\"\u003e[`arcsine( a, b )`][@stdlib/random/base/arcsine]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003earcsine distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`bernoulli( p )`][@stdlib/random/base/bernoulli]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eBernoulli distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`beta( alpha, beta )`][@stdlib/random/base/beta]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ebeta distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`betaprime( alpha, beta )`][@stdlib/random/base/betaprime]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ebeta prime distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`binomial( n, p )`][@stdlib/random/base/binomial]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ebinomial distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`boxMuller()`][@stdlib/random/base/box-muller]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003estandard normally distributed pseudorandom numbers using the Box-Muller transform.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`cauchy( x0, gamma )`][@stdlib/random/base/cauchy]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eCauchy distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`chi( k )`][@stdlib/random/base/chi]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eChi distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`chisquare( k )`][@stdlib/random/base/chisquare]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eChi-square distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`cosine( mu, s )`][@stdlib/random/base/cosine]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eraised cosine distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`discreteUniform( a, b )`][@stdlib/random/base/discrete-uniform]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ediscrete uniform distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`erlang( k, lambda )`][@stdlib/random/base/erlang]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eErlang distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`exponential( lambda )`][@stdlib/random/base/exponential]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eexponentially distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`f( d1, d2 )`][@stdlib/random/base/f]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eF distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`frechet( alpha, s, m )`][@stdlib/random/base/frechet]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eFréchet distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`gamma( alpha, beta )`][@stdlib/random/base/gamma]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003egamma distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`geometric( p )`][@stdlib/random/base/geometric]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003egeometric distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`gumbel( mu, beta )`][@stdlib/random/base/gumbel]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eGumbel distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`hypergeometric( N, K, n )`][@stdlib/random/base/hypergeometric]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ehypergeometric distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`improvedZiggurat()`][@stdlib/random/base/improved-ziggurat]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003estandard normally distributed pseudorandom numbers using the Improved Ziggurat method.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`invgamma( alpha, beta )`][@stdlib/random/base/invgamma]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003einverse gamma distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`kumaraswamy( a, b )`][@stdlib/random/base/kumaraswamy]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eKumaraswamy's double bounded distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`laplace( mu, b )`][@stdlib/random/base/laplace]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eLaplace (double exponential) distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`levy( mu, c )`][@stdlib/random/base/levy]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eLévy distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`logistic( mu, s )`][@stdlib/random/base/logistic]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003elogistic distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`lognormal( mu, sigma )`][@stdlib/random/base/lognormal]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003elognormal distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`minstdShuffle()`][@stdlib/random/base/minstd-shuffle]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eA linear congruential pseudorandom number generator (LCG) whose output is shuffled.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`minstd()`][@stdlib/random/base/minstd]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eA linear congruential pseudorandom number generator (LCG) based on Park and Miller.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`mt19937()`][@stdlib/random/base/mt19937]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eA 32-bit Mersenne Twister pseudorandom number generator.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`negativeBinomial( r, p )`][@stdlib/random/base/negative-binomial]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003enegative binomially distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`normal( mu, sigma )`][@stdlib/random/base/normal]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003enormally distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`pareto1( alpha, beta )`][@stdlib/random/base/pareto-type1]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ePareto (Type I) distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`poisson( lambda )`][@stdlib/random/base/poisson]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ePoisson distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`randi()`][@stdlib/random/base/randi]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003epseudorandom numbers having integer values.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`randn()`][@stdlib/random/base/randn]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003estandard normally distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`randu()`][@stdlib/random/base/randu]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003euniformly distributed pseudorandom numbers between 0 and 1.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`rayleigh( sigma )`][@stdlib/random/base/rayleigh]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eRayleigh distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`reviveBasePRNG( key, value )`][@stdlib/random/base/reviver]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003erevive a JSON-serialized pseudorandom number generator (PRNG).\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`t( v )`][@stdlib/random/base/t]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eStudent's t-distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`triangular( a, b, c )`][@stdlib/random/base/triangular]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003etriangular distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`uniform( a, b )`][@stdlib/random/base/uniform]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003euniformly distributed pseudorandom numbers.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`weibull( k, lambda )`][@stdlib/random/base/weibull]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eWeibull distributed pseudorandom numbers.\u003c/span\u003e\n\n\u003c/div\u003e\n\n\u003c!-- \u003c/toc\u003e --\u003e\n\nAttached to each PRNG are the following properties:\n\n-   **NAME**: the generator name.\n-   **seed**: the value used to seed the PRNG.\n-   **seedLength**: the length of the PRNG seed.\n-   **state**: the PRNG state.\n-   **stateLength**: the length of the PRNG state.\n-   **byteLength**: the size of the PRNG state.\n-   **PRNG**: the underlying pseudorandom number generator.\n\nAdditionally, attached to each PRNG is a `.factory()` method which supports creating a seeded PRNG and thus generating a reproducible sequence of pseudorandom numbers.\n\n```javascript\nvar rand;\nvar v;\nvar i;\n\n// Generate pseudorandom values...\nfor ( i = 0; i \u003c 100; i++ ) {\n    v = random.randu();\n}\n\n// Generate the same pseudorandom values...\nrand = random.randu.factory({\n    'seed': random.randu.seed\n});\nfor ( i = 0; i \u003c 100; i++ ) {\n    v = rand();\n}\n```\n\nFor parameterized PRNGs, the `.factory()` method supports specifying parameters upon either PRNG creation or invocation. For example,\n\n```javascript\n// Create a PRNG which requires providing parameters at each invocation:\nvar rand = random.normal.factory({\n    'seed': 12345\n});\n\nvar r = rand( 1.0, 2.0 );\n// returns \u003cnumber\u003e\n\n// Create a PRNG with fixed parameters:\nrand = random.normal.factory( 1.0, 2.0, {\n    'seed': 12345\n});\n\nr = rand();\n// returns \u003cnumber\u003e\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003csection class=\"examples\"\u003e\n\n## Examples\n\n\u003c!-- TODO: better examples =\u003e generate histograms for several different PRNGs and compare to expected shape --\u003e\n\n\u003c!-- eslint no-undef: \"error\" --\u003e\n\n```javascript\nvar objectKeys = require( '@stdlib/utils-keys' );\nvar random = require( '@stdlib/random-base' );\n\nconsole.log( objectKeys( random ) );\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\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/random-base.svg\n[npm-url]: https://npmjs.org/package/@stdlib/random-base\n\n[test-image]: https://github.com/stdlib-js/random-base/actions/workflows/test.yml/badge.svg?branch=main\n[test-url]: https://github.com/stdlib-js/random-base/actions/workflows/test.yml?query=branch:main\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/random-base/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/random-base?branch=main\n\n\u003c!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/random-base.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/random-base/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/random-base/tree/deno\n[deno-readme]: https://github.com/stdlib-js/random-base/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/random-base/tree/umd\n[umd-readme]: https://github.com/stdlib-js/random-base/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/random-base/tree/esm\n[esm-readme]: https://github.com/stdlib-js/random-base/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/random-base/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/random-base/main/LICENSE\n\n\u003c!-- \u003ctoc-links\u003e --\u003e\n\n[@stdlib/random/base/arcsine]: https://github.com/stdlib-js/random-base-arcsine\n\n[@stdlib/random/base/bernoulli]: https://github.com/stdlib-js/random-base-bernoulli\n\n[@stdlib/random/base/beta]: https://github.com/stdlib-js/random-base-beta\n\n[@stdlib/random/base/betaprime]: https://github.com/stdlib-js/random-base-betaprime\n\n[@stdlib/random/base/binomial]: https://github.com/stdlib-js/random-base-binomial\n\n[@stdlib/random/base/box-muller]: https://github.com/stdlib-js/random-base-box-muller\n\n[@stdlib/random/base/cauchy]: https://github.com/stdlib-js/random-base-cauchy\n\n[@stdlib/random/base/chi]: https://github.com/stdlib-js/random-base-chi\n\n[@stdlib/random/base/chisquare]: https://github.com/stdlib-js/random-base-chisquare\n\n[@stdlib/random/base/cosine]: https://github.com/stdlib-js/random-base-cosine\n\n[@stdlib/random/base/discrete-uniform]: https://github.com/stdlib-js/random-base-discrete-uniform\n\n[@stdlib/random/base/erlang]: https://github.com/stdlib-js/random-base-erlang\n\n[@stdlib/random/base/exponential]: https://github.com/stdlib-js/random-base-exponential\n\n[@stdlib/random/base/f]: https://github.com/stdlib-js/random-base-f\n\n[@stdlib/random/base/frechet]: https://github.com/stdlib-js/random-base-frechet\n\n[@stdlib/random/base/gamma]: https://github.com/stdlib-js/random-base-gamma\n\n[@stdlib/random/base/geometric]: https://github.com/stdlib-js/random-base-geometric\n\n[@stdlib/random/base/gumbel]: https://github.com/stdlib-js/random-base-gumbel\n\n[@stdlib/random/base/hypergeometric]: https://github.com/stdlib-js/random-base-hypergeometric\n\n[@stdlib/random/base/improved-ziggurat]: https://github.com/stdlib-js/random-base-improved-ziggurat\n\n[@stdlib/random/base/invgamma]: https://github.com/stdlib-js/random-base-invgamma\n\n[@stdlib/random/base/kumaraswamy]: https://github.com/stdlib-js/random-base-kumaraswamy\n\n[@stdlib/random/base/laplace]: https://github.com/stdlib-js/random-base-laplace\n\n[@stdlib/random/base/levy]: https://github.com/stdlib-js/random-base-levy\n\n[@stdlib/random/base/logistic]: https://github.com/stdlib-js/random-base-logistic\n\n[@stdlib/random/base/lognormal]: https://github.com/stdlib-js/random-base-lognormal\n\n[@stdlib/random/base/minstd-shuffle]: https://github.com/stdlib-js/random-base-minstd-shuffle\n\n[@stdlib/random/base/minstd]: https://github.com/stdlib-js/random-base-minstd\n\n[@stdlib/random/base/mt19937]: https://github.com/stdlib-js/random-base-mt19937\n\n[@stdlib/random/base/negative-binomial]: https://github.com/stdlib-js/random-base-negative-binomial\n\n[@stdlib/random/base/normal]: https://github.com/stdlib-js/random-base-normal\n\n[@stdlib/random/base/pareto-type1]: https://github.com/stdlib-js/random-base-pareto-type1\n\n[@stdlib/random/base/poisson]: https://github.com/stdlib-js/random-base-poisson\n\n[@stdlib/random/base/randi]: https://github.com/stdlib-js/random-base-randi\n\n[@stdlib/random/base/randn]: https://github.com/stdlib-js/random-base-randn\n\n[@stdlib/random/base/randu]: https://github.com/stdlib-js/random-base-randu\n\n[@stdlib/random/base/rayleigh]: https://github.com/stdlib-js/random-base-rayleigh\n\n[@stdlib/random/base/reviver]: https://github.com/stdlib-js/random-base-reviver\n\n[@stdlib/random/base/t]: https://github.com/stdlib-js/random-base-t\n\n[@stdlib/random/base/triangular]: https://github.com/stdlib-js/random-base-triangular\n\n[@stdlib/random/base/uniform]: https://github.com/stdlib-js/random-base-uniform\n\n[@stdlib/random/base/weibull]: https://github.com/stdlib-js/random-base-weibull\n\n\u003c!-- \u003c/toc-links\u003e --\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.links --\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Frandom-base","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstdlib-js%2Frandom-base","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Frandom-base/lists"}