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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-->\n\n\n<details>\n  <summary>\n    About stdlib...\n  </summary>\n  <p>We 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.</p>\n  <p>The 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.</p>\n  <p>When 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.</p>\n  <p>To join us in bringing numerical computing to the web, get started by checking us out on <a href=\"https://github.com/stdlib-js/stdlib\">GitHub</a>, and please consider <a href=\"https://opencollective.com/stdlib\">financially supporting stdlib</a>. We greatly appreciate your continued support!</p>\n</details>\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] <!-- [![dependencies][dependencies-image]][dependencies-url] -->\n\n> Base (i.e., lower-level) pseudorandom number generators (PRNGs).\n\n<section class=\"installation\">\n\n## Installation\n\n```bash\nnpm install @stdlib/random-base\n```\n\n</section>\n\n<section class=\"usage\">\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<!-- <toc pattern=\"*\"> -->\n\n<div class=\"namespace-toc\">\n\n-   <span class=\"signature\">[`arcsine( a, b )`][@stdlib/random/base/arcsine]</span><span class=\"delimiter\">: </span><span class=\"description\">arcsine distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`bernoulli( p )`][@stdlib/random/base/bernoulli]</span><span class=\"delimiter\">: </span><span class=\"description\">Bernoulli distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`beta( alpha, beta )`][@stdlib/random/base/beta]</span><span class=\"delimiter\">: </span><span class=\"description\">beta distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`betaprime( alpha, beta )`][@stdlib/random/base/betaprime]</span><span class=\"delimiter\">: </span><span class=\"description\">beta prime distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`binomial( n, p )`][@stdlib/random/base/binomial]</span><span class=\"delimiter\">: </span><span class=\"description\">binomial distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`boxMuller()`][@stdlib/random/base/box-muller]</span><span class=\"delimiter\">: </span><span class=\"description\">standard normally distributed pseudorandom numbers using the Box-Muller transform.</span>\n-   <span class=\"signature\">[`cauchy( x0, gamma )`][@stdlib/random/base/cauchy]</span><span class=\"delimiter\">: </span><span class=\"description\">Cauchy distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`chi( k )`][@stdlib/random/base/chi]</span><span class=\"delimiter\">: </span><span class=\"description\">Chi distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`chisquare( k )`][@stdlib/random/base/chisquare]</span><span class=\"delimiter\">: </span><span class=\"description\">Chi-square distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`cosine( mu, s )`][@stdlib/random/base/cosine]</span><span class=\"delimiter\">: </span><span class=\"description\">raised cosine distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`discreteUniform( a, b )`][@stdlib/random/base/discrete-uniform]</span><span class=\"delimiter\">: </span><span class=\"description\">discrete uniform distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`erlang( k, lambda )`][@stdlib/random/base/erlang]</span><span class=\"delimiter\">: </span><span class=\"description\">Erlang distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`exponential( lambda )`][@stdlib/random/base/exponential]</span><span class=\"delimiter\">: </span><span class=\"description\">exponentially distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`f( d1, d2 )`][@stdlib/random/base/f]</span><span class=\"delimiter\">: </span><span class=\"description\">F distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`frechet( alpha, s, m )`][@stdlib/random/base/frechet]</span><span class=\"delimiter\">: </span><span class=\"description\">Fréchet distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`gamma( alpha, beta )`][@stdlib/random/base/gamma]</span><span class=\"delimiter\">: </span><span class=\"description\">gamma distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`geometric( p )`][@stdlib/random/base/geometric]</span><span class=\"delimiter\">: </span><span class=\"description\">geometric distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`gumbel( mu, beta )`][@stdlib/random/base/gumbel]</span><span class=\"delimiter\">: </span><span class=\"description\">Gumbel distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`hypergeometric( N, K, n )`][@stdlib/random/base/hypergeometric]</span><span class=\"delimiter\">: </span><span class=\"description\">hypergeometric distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`improvedZiggurat()`][@stdlib/random/base/improved-ziggurat]</span><span class=\"delimiter\">: </span><span class=\"description\">standard normally distributed pseudorandom numbers using the Improved Ziggurat method.</span>\n-   <span class=\"signature\">[`invgamma( alpha, beta )`][@stdlib/random/base/invgamma]</span><span class=\"delimiter\">: </span><span class=\"description\">inverse gamma distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`kumaraswamy( a, b )`][@stdlib/random/base/kumaraswamy]</span><span class=\"delimiter\">: </span><span class=\"description\">Kumaraswamy's double bounded distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`laplace( mu, b )`][@stdlib/random/base/laplace]</span><span class=\"delimiter\">: </span><span class=\"description\">Laplace (double exponential) distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`levy( mu, c )`][@stdlib/random/base/levy]</span><span class=\"delimiter\">: </span><span class=\"description\">Lévy distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`logistic( mu, s )`][@stdlib/random/base/logistic]</span><span class=\"delimiter\">: </span><span class=\"description\">logistic distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`lognormal( mu, sigma )`][@stdlib/random/base/lognormal]</span><span class=\"delimiter\">: </span><span class=\"description\">lognormal distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`minstdShuffle()`][@stdlib/random/base/minstd-shuffle]</span><span class=\"delimiter\">: </span><span class=\"description\">A linear congruential pseudorandom number generator (LCG) whose output is shuffled.</span>\n-   <span class=\"signature\">[`minstd()`][@stdlib/random/base/minstd]</span><span class=\"delimiter\">: </span><span class=\"description\">A linear congruential pseudorandom number generator (LCG) based on Park and Miller.</span>\n-   <span class=\"signature\">[`mt19937()`][@stdlib/random/base/mt19937]</span><span class=\"delimiter\">: </span><span class=\"description\">A 32-bit Mersenne Twister pseudorandom number generator.</span>\n-   <span class=\"signature\">[`negativeBinomial( r, p )`][@stdlib/random/base/negative-binomial]</span><span class=\"delimiter\">: </span><span class=\"description\">negative binomially distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`normal( mu, sigma )`][@stdlib/random/base/normal]</span><span class=\"delimiter\">: </span><span class=\"description\">normally distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`pareto1( alpha, beta )`][@stdlib/random/base/pareto-type1]</span><span class=\"delimiter\">: </span><span class=\"description\">Pareto (Type I) distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`poisson( lambda )`][@stdlib/random/base/poisson]</span><span class=\"delimiter\">: </span><span class=\"description\">Poisson distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`randi()`][@stdlib/random/base/randi]</span><span class=\"delimiter\">: </span><span class=\"description\">pseudorandom numbers having integer values.</span>\n-   <span class=\"signature\">[`randn()`][@stdlib/random/base/randn]</span><span class=\"delimiter\">: </span><span class=\"description\">standard normally distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`randu()`][@stdlib/random/base/randu]</span><span class=\"delimiter\">: </span><span class=\"description\">uniformly distributed pseudorandom numbers between 0 and 1.</span>\n-   <span class=\"signature\">[`rayleigh( sigma )`][@stdlib/random/base/rayleigh]</span><span class=\"delimiter\">: </span><span class=\"description\">Rayleigh distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`reviveBasePRNG( key, value )`][@stdlib/random/base/reviver]</span><span class=\"delimiter\">: </span><span class=\"description\">revive a JSON-serialized pseudorandom number generator (PRNG).</span>\n-   <span class=\"signature\">[`t( v )`][@stdlib/random/base/t]</span><span class=\"delimiter\">: </span><span class=\"description\">Student's t-distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`triangular( a, b, c )`][@stdlib/random/base/triangular]</span><span class=\"delimiter\">: </span><span class=\"description\">triangular distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`uniform( a, b )`][@stdlib/random/base/uniform]</span><span class=\"delimiter\">: </span><span class=\"description\">uniformly distributed pseudorandom numbers.</span>\n-   <span class=\"signature\">[`weibull( k, lambda )`][@stdlib/random/base/weibull]</span><span class=\"delimiter\">: </span><span class=\"description\">Weibull distributed pseudorandom numbers.</span>\n\n</div>\n\n<!-- </toc> -->\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 < 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 < 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 <number>\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 <number>\n```\n\n</section>\n\n<!-- /.usage -->\n\n<section class=\"examples\">\n\n## Examples\n\n<!-- TODO: better examples => generate histograms for several different PRNGs and compare to expected shape -->\n\n<!-- eslint no-undef: \"error\" -->\n\n```javascript\nvar objectKeys = require( '@stdlib/utils-keys' );\nvar random = require( '@stdlib/random-base' );\n\nconsole.log( objectKeys( random ) );\n```\n\n</section>\n\n<!-- /.examples -->\n\n<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->\n\n<section class=\"related\">\n\n</section>\n\n<!-- /.related -->\n\n<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->\n\n\n<section class=\"main-repo\" >\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 &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].\n\n</section>\n\n<!-- /.stdlib -->\n\n<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->\n\n<section class=\"links\">\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=v0.2.3\n[test-url]: https://github.com/stdlib-js/random-base/actions/workflows/test.yml?query=branch:v0.2.3\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<!--\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-->\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<!-- <toc-links> -->\n\n[@stdlib/random/base/arcsine]: https://www.npmjs.com/package/@stdlib/random-base-arcsine\n\n[@stdlib/random/base/bernoulli]: https://www.npmjs.com/package/@stdlib/random-base-bernoulli\n\n[@stdlib/random/base/beta]: https://www.npmjs.com/package/@stdlib/random-base-beta\n\n[@stdlib/random/base/betaprime]: https://www.npmjs.com/package/@stdlib/random-base-betaprime\n\n[@stdlib/random/base/binomial]: https://www.npmjs.com/package/@stdlib/random-base-binomial\n\n[@stdlib/random/base/box-muller]: https://www.npmjs.com/package/@stdlib/random-base-box-muller\n\n[@stdlib/random/base/cauchy]: https://www.npmjs.com/package/@stdlib/random-base-cauchy\n\n[@stdlib/random/base/chi]: https://www.npmjs.com/package/@stdlib/random-base-chi\n\n[@stdlib/random/base/chisquare]: https://www.npmjs.com/package/@stdlib/random-base-chisquare\n\n[@stdlib/random/base/cosine]: https://www.npmjs.com/package/@stdlib/random-base-cosine\n\n[@stdlib/random/base/discrete-uniform]: https://www.npmjs.com/package/@stdlib/random-base-discrete-uniform\n\n[@stdlib/random/base/erlang]: 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https://www.npmjs.com/package/@stdlib/random-base-kumaraswamy\n\n[@stdlib/random/base/laplace]: https://www.npmjs.com/package/@stdlib/random-base-laplace\n\n[@stdlib/random/base/levy]: https://www.npmjs.com/package/@stdlib/random-base-levy\n\n[@stdlib/random/base/logistic]: https://www.npmjs.com/package/@stdlib/random-base-logistic\n\n[@stdlib/random/base/lognormal]: https://www.npmjs.com/package/@stdlib/random-base-lognormal\n\n[@stdlib/random/base/minstd-shuffle]: https://www.npmjs.com/package/@stdlib/random-base-minstd-shuffle\n\n[@stdlib/random/base/minstd]: https://www.npmjs.com/package/@stdlib/random-base-minstd\n\n[@stdlib/random/base/mt19937]: https://www.npmjs.com/package/@stdlib/random-base-mt19937\n\n[@stdlib/random/base/negative-binomial]: https://www.npmjs.com/package/@stdlib/random-base-negative-binomial\n\n[@stdlib/random/base/normal]: https://www.npmjs.com/package/@stdlib/random-base-normal\n\n[@stdlib/random/base/pareto-type1]: 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-->\n\n</section>\n\n<!-- /.links -->\n","readmeFilename":"README.md"}