{"id":15011297,"url":"https://github.com/stdlib-js/random-iter","last_synced_at":"2025-08-22T23:27:35.721Z","repository":{"id":50717324,"uuid":"377257891","full_name":"stdlib-js/random-iter","owner":"stdlib-js","description":"Standard library pseudorandom number generator iterators.","archived":false,"fork":false,"pushed_at":"2025-03-24T01:41:25.000Z","size":12074,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-05-03T13:18:18.217Z","etag":null,"topics":["generator","javascript","lib","library","math","mathematics","node","node-js","nodejs","prng","pseudorandom","rand","random","rng","seed","seedable","standard","statistics","stats","stdlib"],"latest_commit_sha":null,"homepage":"https://github.com/stdlib-js/stdlib","language":"JavaScript","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/stdlib-js.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null},"funding":{"github":["stdlib-js"],"open_collective":"stdlib","tidelift":"npm/@stdlib/stdlib"}},"created_at":"2021-06-15T18:22:55.000Z","updated_at":"2025-03-24T00:59:39.000Z","dependencies_parsed_at":"2024-01-29T21:03:34.231Z","dependency_job_id":"13baa4c0-7808-47d0-8a9b-cdc78e56d0b2","html_url":"https://github.com/stdlib-js/random-iter","commit_stats":{"total_commits":38,"total_committers":1,"mean_commits":38.0,"dds":0.0,"last_synced_commit":"fd0a1008f914866c768add1e8aad28332e333f3c"},"previous_names":[],"tags_count":18,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Frandom-iter","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Frandom-iter/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Frandom-iter/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Frandom-iter/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/stdlib-js","download_url":"https://codeload.github.com/stdlib-js/random-iter/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253913066,"owners_count":21983249,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["generator","javascript","lib","library","math","mathematics","node","node-js","nodejs","prng","pseudorandom","rand","random","rng","seed","seedable","standard","statistics","stats","stdlib"],"created_at":"2024-09-24T19:40:31.414Z","updated_at":"2025-08-22T23:27:35.713Z","avatar_url":"https://github.com/stdlib-js.png","language":"JavaScript","funding_links":["https://github.com/sponsors/stdlib-js","https://opencollective.com/stdlib","https://tidelift.com/funding/github/npm/@stdlib/stdlib"],"categories":[],"sub_categories":[],"readme":"\u003c!--\n\n@license 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 Generator Iterators\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 Pseudorandom number generator (PRNG) iterators.\n\n\u003csection class=\"installation\"\u003e\n\n## Installation\n\n```bash\nnpm install @stdlib/random-iter\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 ns = require( '@stdlib/random-iter' );\n```\n\n#### ns\n\nNamespace containing pseudorandom number generator (PRNG) iterators.\n\n```javascript\nvar iterators = ns;\n// returns {...}\n```\n\nThe namespace contains the following functions for creating iterator protocol-compliant iterators:\n\n\u003c!-- \u003ctoc pattern=\"*\"\u003e --\u003e\n\n\u003cdiv class=\"namespace-toc\"\u003e\n\n-   \u003cspan class=\"signature\"\u003e[`arcsine( a, b[, options] )`][@stdlib/random/iter/arcsine]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from an arcsine distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`bernoulli( p[, options] )`][@stdlib/random/iter/bernoulli]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a Bernoulli distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`beta( alpha, beta[, options] )`][@stdlib/random/iter/beta]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a beta distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`betaprime( alpha, beta[, options] )`][@stdlib/random/iter/betaprime]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a beta prime distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`binomial( n, p[, options] )`][@stdlib/random/iter/binomial]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a binomial distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`boxMuller( [options] )`][@stdlib/random/iter/box-muller]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`cauchy( x0, gamma[, options] )`][@stdlib/random/iter/cauchy]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a Cauchy distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`chi( k[, options] )`][@stdlib/random/iter/chi]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a chi distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`chisquare( k[, options] )`][@stdlib/random/iter/chisquare]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a chi-square distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`cosine( mu, s[, options] )`][@stdlib/random/iter/cosine]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a raised cosine distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`discreteUniform( a, b[, options] )`][@stdlib/random/iter/discrete-uniform]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a discrete uniform distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`erlang( k, lambda[, options] )`][@stdlib/random/iter/erlang]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from an Erlang distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`exponential( lambda[, options] )`][@stdlib/random/iter/exponential]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from an exponential distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`f( d1, d2[, options] )`][@stdlib/random/iter/f]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from an F distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`frechet( alpha, s, m[, options] )`][@stdlib/random/iter/frechet]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a Fréchet distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`gamma( alpha, beta[, options] )`][@stdlib/random/iter/gamma]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a gamma distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`geometric( p[, options] )`][@stdlib/random/iter/geometric]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a geometric distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`gumbel( mu, beta[, options] )`][@stdlib/random/iter/gumbel]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a Gumbel distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`hypergeometric( N, K, n[, options] )`][@stdlib/random/iter/hypergeometric]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a hypergeometric distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`improvedZiggurat( [options] )`][@stdlib/random/iter/improved-ziggurat]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`invgamma( alpha, beta[, options] )`][@stdlib/random/iter/invgamma]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from an inverse gamma distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`kumaraswamy( a, b[, options] )`][@stdlib/random/iter/kumaraswamy]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a Kumaraswamy's double bounded distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`laplace( mu, b[, options] )`][@stdlib/random/iter/laplace]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a Laplace (double exponential) distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`levy( mu, c[, options] )`][@stdlib/random/iter/levy]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a Lévy distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`logistic( mu, s[, options] )`][@stdlib/random/iter/logistic]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a logistic distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`lognormal( mu, sigma[, options] )`][@stdlib/random/iter/lognormal]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a lognormal distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`minstdShuffle( [options] )`][@stdlib/random/iter/minstd-shuffle]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for a linear congruential pseudorandom number generator (LCG) whose output is shuffled.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`minstd( [options] )`][@stdlib/random/iter/minstd]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`mt19937( [options] )`][@stdlib/random/iter/mt19937]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for a 32-bit Mersenne Twister pseudorandom number generator.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`negativeBinomial( r, p[, options] )`][@stdlib/random/iter/negative-binomial]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a negative binomial distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`normal( mu, sigma[, options] )`][@stdlib/random/iter/normal]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a normal distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`pareto1( alpha, beta[, options] )`][@stdlib/random/iter/pareto-type1]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`poisson( lambda[, options] )`][@stdlib/random/iter/poisson]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a Poisson distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`randi( [options] )`][@stdlib/random/iter/randi]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers having integer values.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`randn( [options] )`][@stdlib/random/iter/randn]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a standard normal distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`randu( [options] )`][@stdlib/random/iter/randu]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating uniformly distributed pseudorandom numbers between `0` and `1`.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`rayleigh( sigma[, options] )`][@stdlib/random/iter/rayleigh]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a Rayleigh distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`t( v[, options] )`][@stdlib/random/iter/t]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a Student's t distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`triangular( a, b, c[, options] )`][@stdlib/random/iter/triangular]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a triangular distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`uniform( a, b[, options] )`][@stdlib/random/iter/uniform]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a continuous uniform distribution.\u003c/span\u003e\n-   \u003cspan class=\"signature\"\u003e[`weibull( k, lambda[, options] )`][@stdlib/random/iter/weibull]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecreate an iterator for generating pseudorandom numbers drawn from a Weibull distribution.\u003c/span\u003e\n\n\u003c/div\u003e\n\n\u003c!-- \u003c/toc\u003e --\u003e\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\n\n\u003c!-- eslint no-undef: \"error\" --\u003e\n\n```javascript\nvar roundn = require( '@stdlib/math-base-special-roundn' );\nvar mean = require( '@stdlib/stats-strided-mean' );\nvar iter = require( '@stdlib/random-iter' );\n\nvar initialPrice = 100.0;\nvar currentPrice = initialPrice;\nvar numDays = 30;\nvar volatility = 0.02; // 2% daily volatility\n\n// Create iterator for random price movements:\nvar priceIter = iter.normal( 0.0, volatility );\nvar prices = [ initialPrice ];\nvar dailyReturns = [];\n\n// Simulate price movements:\nvar change;\nvar i;\nfor ( i = 0; i \u003c numDays; i++ ) {\n    change = priceIter.next().value;\n    currentPrice *= ( 1.0 + change );\n    prices.push( roundn( currentPrice, -2 ) );\n    dailyReturns.push( change * 100.0 );\n}\n\n// Calculate summary statistics:\nvar totalReturn = ( ( currentPrice - initialPrice ) / initialPrice ) * 100.0;\nvar avgReturn = mean( numDays, dailyReturns, 1 );\n\n// Print results:\nconsole.log( 'Stock Price Simulation Results:' );\nconsole.log( '-------------------------------' );\nconsole.log( 'Initial Price: $%d', initialPrice );\nconsole.log( 'Final Price: $%d', roundn( currentPrice, -2 ) );\nconsole.log( 'Total Return: %d%', roundn( totalReturn, -2 ) );\nconsole.log( 'Average Daily Return: %d%', roundn( avgReturn, -2 ) );\nconsole.log( '\\nPrice History:' );\nconsole.log( prices.join( ' → ' ) );\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; 2016-2025. 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-iter.svg\n[npm-url]: https://npmjs.org/package/@stdlib/random-iter\n\n[test-image]: https://github.com/stdlib-js/random-iter/actions/workflows/test.yml/badge.svg?branch=main\n[test-url]: https://github.com/stdlib-js/random-iter/actions/workflows/test.yml?query=branch:main\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/random-iter/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/random-iter?branch=main\n\n\u003c!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/random-iter.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/random-iter/main\n\n--\u003e\n\n[chat-image]: https://img.shields.io/gitter/room/stdlib-js/stdlib.svg\n[chat-url]: https://app.gitter.im/#/room/#stdlib-js_stdlib:gitter.im\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-iter/tree/deno\n[deno-readme]: https://github.com/stdlib-js/random-iter/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/random-iter/tree/umd\n[umd-readme]: https://github.com/stdlib-js/random-iter/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/random-iter/tree/esm\n[esm-readme]: https://github.com/stdlib-js/random-iter/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/random-iter/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/random-iter/main/LICENSE\n\n\u003c!-- \u003ctoc-links\u003e --\u003e\n\n[@stdlib/random/iter/arcsine]: https://github.com/stdlib-js/random-iter-arcsine\n\n[@stdlib/random/iter/bernoulli]: https://github.com/stdlib-js/random-iter-bernoulli\n\n[@stdlib/random/iter/beta]: https://github.com/stdlib-js/random-iter-beta\n\n[@stdlib/random/iter/betaprime]: https://github.com/stdlib-js/random-iter-betaprime\n\n[@stdlib/random/iter/binomial]: https://github.com/stdlib-js/random-iter-binomial\n\n[@stdlib/random/iter/box-muller]: https://github.com/stdlib-js/random-iter-box-muller\n\n[@stdlib/random/iter/cauchy]: https://github.com/stdlib-js/random-iter-cauchy\n\n[@stdlib/random/iter/chi]: https://github.com/stdlib-js/random-iter-chi\n\n[@stdlib/random/iter/chisquare]: https://github.com/stdlib-js/random-iter-chisquare\n\n[@stdlib/random/iter/cosine]: https://github.com/stdlib-js/random-iter-cosine\n\n[@stdlib/random/iter/discrete-uniform]: https://github.com/stdlib-js/random-iter-discrete-uniform\n\n[@stdlib/random/iter/erlang]: https://github.com/stdlib-js/random-iter-erlang\n\n[@stdlib/random/iter/exponential]: https://github.com/stdlib-js/random-iter-exponential\n\n[@stdlib/random/iter/f]: https://github.com/stdlib-js/random-iter-f\n\n[@stdlib/random/iter/frechet]: https://github.com/stdlib-js/random-iter-frechet\n\n[@stdlib/random/iter/gamma]: https://github.com/stdlib-js/random-iter-gamma\n\n[@stdlib/random/iter/geometric]: https://github.com/stdlib-js/random-iter-geometric\n\n[@stdlib/random/iter/gumbel]: https://github.com/stdlib-js/random-iter-gumbel\n\n[@stdlib/random/iter/hypergeometric]: https://github.com/stdlib-js/random-iter-hypergeometric\n\n[@stdlib/random/iter/improved-ziggurat]: https://github.com/stdlib-js/random-iter-improved-ziggurat\n\n[@stdlib/random/iter/invgamma]: https://github.com/stdlib-js/random-iter-invgamma\n\n[@stdlib/random/iter/kumaraswamy]: https://github.com/stdlib-js/random-iter-kumaraswamy\n\n[@stdlib/random/iter/laplace]: https://github.com/stdlib-js/random-iter-laplace\n\n[@stdlib/random/iter/levy]: https://github.com/stdlib-js/random-iter-levy\n\n[@stdlib/random/iter/logistic]: https://github.com/stdlib-js/random-iter-logistic\n\n[@stdlib/random/iter/lognormal]: https://github.com/stdlib-js/random-iter-lognormal\n\n[@stdlib/random/iter/minstd-shuffle]: https://github.com/stdlib-js/random-iter-minstd-shuffle\n\n[@stdlib/random/iter/minstd]: https://github.com/stdlib-js/random-iter-minstd\n\n[@stdlib/random/iter/mt19937]: https://github.com/stdlib-js/random-iter-mt19937\n\n[@stdlib/random/iter/negative-binomial]: https://github.com/stdlib-js/random-iter-negative-binomial\n\n[@stdlib/random/iter/normal]: https://github.com/stdlib-js/random-iter-normal\n\n[@stdlib/random/iter/pareto-type1]: https://github.com/stdlib-js/random-iter-pareto-type1\n\n[@stdlib/random/iter/poisson]: https://github.com/stdlib-js/random-iter-poisson\n\n[@stdlib/random/iter/randi]: https://github.com/stdlib-js/random-iter-randi\n\n[@stdlib/random/iter/randn]: https://github.com/stdlib-js/random-iter-randn\n\n[@stdlib/random/iter/randu]: https://github.com/stdlib-js/random-iter-randu\n\n[@stdlib/random/iter/rayleigh]: https://github.com/stdlib-js/random-iter-rayleigh\n\n[@stdlib/random/iter/t]: https://github.com/stdlib-js/random-iter-t\n\n[@stdlib/random/iter/triangular]: https://github.com/stdlib-js/random-iter-triangular\n\n[@stdlib/random/iter/uniform]: https://github.com/stdlib-js/random-iter-uniform\n\n[@stdlib/random/iter/weibull]: https://github.com/stdlib-js/random-iter-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-iter","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstdlib-js%2Frandom-iter","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Frandom-iter/lists"}