npm package: @stdlib/random-strided
Description: Pseudorandom number generator strided array functions.
Author: The Stdlib Authors
Latest version: 0.3.1

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<details>
  <summary>
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# Strided

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->

> Pseudorandom number generator (PRNG) strided array functions.

<section class="installation">

## Installation

```bash
npm install @stdlib/random-strided
```

</section>

<section class="usage">

## Usage

```javascript
var ns = require( '@stdlib/random-strided' );
```

#### ns

Namespace containing strided array pseudorandom number generator (PRNG) functions.

```javascript
var o = ns;
// returns {...}
```

The namespace contains the following:

<!-- <toc pattern="*"> -->

<div class="namespace-toc">

-   <span class="signature">[`arcsine( N, a, sa, b, sb, out, so[, options] )`][@stdlib/random/strided/arcsine]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from an arcsine distribution.</span>
-   <span class="signature">[`bernoulli( N, p, sp, out, so )`][@stdlib/random/strided/bernoulli]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a Bernoulli distribution.</span>
-   <span class="signature">[`beta( N, alpha, sa, beta, sb, out, so[, options] )`][@stdlib/random/strided/beta]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a beta distribution.</span>
-   <span class="signature">[`betaprime( N, alpha, sa, beta, sb, out, so[, options] )`][@stdlib/random/strided/betaprime]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a beta prime distribution.</span>
-   <span class="signature">[`chi( N, k, sk, out, so )`][@stdlib/random/strided/chi]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a chi distribution.</span>
-   <span class="signature">[`chisquare( N, k, sk, out, so )`][@stdlib/random/strided/chisquare]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a chi-square distribution.</span>
-   <span class="signature">[`cosine( N, mu, sm, s, ss, out, so[, options] )`][@stdlib/random/strided/cosine]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a raised cosine distribution.</span>
-   <span class="signature">[`discreteUniform( N, a, sa, b, sb, out, so[, options] )`][@stdlib/random/strided/discrete-uniform]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a discrete uniform distribution.</span>
-   <span class="signature">[`exponential( N, lambda, sl, out, so )`][@stdlib/random/strided/exponential]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from an exponential distribution.</span>
-   <span class="signature">[`gamma( N, alpha, sa, beta, sb, out, so[, options] )`][@stdlib/random/strided/gamma]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a gamma distribution.</span>
-   <span class="signature">[`geometric( N, p, sp, out, so )`][@stdlib/random/strided/geometric]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a geometric distribution.</span>
-   <span class="signature">[`invgamma( N, alpha, sa, beta, sb, out, so[, options] )`][@stdlib/random/strided/invgamma]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from an inverse gamma distribution.</span>
-   <span class="signature">[`lognormal( N, mu, sm, sigma, ss, out, so[, options] )`][@stdlib/random/strided/lognormal]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a lognormal distribution.</span>
-   <span class="signature">[`minstdShuffle( N, out, so[, options] )`][@stdlib/random/strided/minstd-shuffle]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.</span>
-   <span class="signature">[`minstd( N, out, so[, options] )`][@stdlib/random/strided/minstd]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).</span>
-   <span class="signature">[`mt19937( N, out, so[, options] )`][@stdlib/random/strided/mt19937]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.</span>
-   <span class="signature">[`normal( N, mu, sm, sigma, ss, out, so[, options] )`][@stdlib/random/strided/normal]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a normal distribution.</span>
-   <span class="signature">[`poisson( N, lambda, sl, out, so )`][@stdlib/random/strided/poisson]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a Poisson distribution.</span>
-   <span class="signature">[`randu( N, out, so[, options] )`][@stdlib/random/strided/randu]</span><span class="delimiter">: </span><span class="description">fill a strided array with uniformly distributed pseudorandom numbers between `0` and `1`.</span>
-   <span class="signature">[`rayleigh( N, sigma, ss, out, so )`][@stdlib/random/strided/rayleigh]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a Rayleigh distribution.</span>
-   <span class="signature">[`t( N, v, sv, out, so )`][@stdlib/random/strided/t]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a Student's t-distribution.</span>
-   <span class="signature">[`uniform( N, a, sa, b, sb, out, so[, options] )`][@stdlib/random/strided/uniform]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a continuous uniform distribution.</span>
-   <span class="signature">[`weibull( N, k, sk, lambda, sl, out, so[, options] )`][@stdlib/random/strided/weibull]</span><span class="delimiter">: </span><span class="description">fill a strided array with pseudorandom numbers drawn from a Weibull distribution.</span>

</div>

<!-- </toc> -->

</section>

<!-- /.usage -->

<section class="examples">

## Examples

<!-- TODO: better examples -->

<!-- eslint no-undef: "error" -->

```javascript
var objectKeys = require( '@stdlib/utils-keys' );
var ns = require( '@stdlib/random-strided' );

console.log( objectKeys( ns ) );
```

</section>

<!-- /.examples -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

</section>

<!-- /.related -->

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<section class="main-repo" >

* * *

## Notice

This 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.

For 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].

#### Community

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---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

</section>

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[umd]: https://github.com/umdjs/umd
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[deno-url]: https://github.com/stdlib-js/random-strided/tree/deno
[deno-readme]: https://github.com/stdlib-js/random-strided/blob/deno/README.md
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[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/random-strided/main/LICENSE

<!-- <toc-links> -->

[@stdlib/random/strided/arcsine]: https://www.npmjs.com/package/@stdlib/random-strided-arcsine

[@stdlib/random/strided/bernoulli]: https://www.npmjs.com/package/@stdlib/random-strided-bernoulli

[@stdlib/random/strided/beta]: https://www.npmjs.com/package/@stdlib/random-strided-beta

[@stdlib/random/strided/betaprime]: https://www.npmjs.com/package/@stdlib/random-strided-betaprime

[@stdlib/random/strided/chi]: https://www.npmjs.com/package/@stdlib/random-strided-chi

[@stdlib/random/strided/chisquare]: https://www.npmjs.com/package/@stdlib/random-strided-chisquare

[@stdlib/random/strided/cosine]: https://www.npmjs.com/package/@stdlib/random-strided-cosine

[@stdlib/random/strided/discrete-uniform]: https://www.npmjs.com/package/@stdlib/random-strided-discrete-uniform

[@stdlib/random/strided/exponential]: https://www.npmjs.com/package/@stdlib/random-strided-exponential

[@stdlib/random/strided/gamma]: https://www.npmjs.com/package/@stdlib/random-strided-gamma

[@stdlib/random/strided/geometric]: https://www.npmjs.com/package/@stdlib/random-strided-geometric

[@stdlib/random/strided/invgamma]: https://www.npmjs.com/package/@stdlib/random-strided-invgamma

[@stdlib/random/strided/lognormal]: https://www.npmjs.com/package/@stdlib/random-strided-lognormal

[@stdlib/random/strided/minstd-shuffle]: https://www.npmjs.com/package/@stdlib/random-strided-minstd-shuffle

[@stdlib/random/strided/minstd]: https://www.npmjs.com/package/@stdlib/random-strided-minstd

[@stdlib/random/strided/mt19937]: https://www.npmjs.com/package/@stdlib/random-strided-mt19937

[@stdlib/random/strided/normal]: https://www.npmjs.com/package/@stdlib/random-strided-normal

[@stdlib/random/strided/poisson]: https://www.npmjs.com/package/@stdlib/random-strided-poisson

[@stdlib/random/strided/randu]: https://www.npmjs.com/package/@stdlib/random-strided-randu

[@stdlib/random/strided/rayleigh]: https://www.npmjs.com/package/@stdlib/random-strided-rayleigh

[@stdlib/random/strided/t]: https://www.npmjs.com/package/@stdlib/random-strided-t

[@stdlib/random/strided/uniform]: https://www.npmjs.com/package/@stdlib/random-strided-uniform

[@stdlib/random/strided/weibull]: https://www.npmjs.com/package/@stdlib/random-strided-weibull

<!-- </toc-links> -->

</section>

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