npm package: @stdlib/stats-array-max
Description: Calculate the maximum value of an array.
Author: The Stdlib Authors
Latest version: 0.1.1

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<details>
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    About stdlib...
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  <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>
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# max

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

> Calculate the maximum value of an array.

<section class="intro">

</section>

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<section class="installation">

## Installation

```bash
npm install @stdlib/stats-array-max
```

</section>

<section class="usage">

## Usage

```javascript
var max = require( '@stdlib/stats-array-max' );
```

#### max( x )

Computes the maximum value of an array.

```javascript
var x = [ 1.0, -2.0, 2.0 ];

var v = max( x );
// returns 2.0
```

The function has the following parameters:

-   **x**: input array.

</section>

<!-- /.usage -->

<section class="notes">

## Notes

-   If provided an empty array, the function returns `NaN`.
-   The function supports array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array-base/accessor`][@stdlib/array/base/accessor]).

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var max = require( '@stdlib/stats-array-max' );

var x = discreteUniform( 10, -50, 50, {
    'dtype': 'float64'
});
console.log( x );

var v = max( x );
console.log( v );
```

</section>

<!-- /.examples -->

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<section class="related">

</section>

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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

[![Chat][chat-image]][chat-url]

---

## License

See [LICENSE][stdlib-license].


## Copyright

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

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[npm-url]: https://npmjs.org/package/@stdlib/stats-array-max

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[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-array-max/main.svg
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[stdlib]: https://github.com/stdlib-js/stdlib

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[umd]: https://github.com/umdjs/umd
[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules

[deno-url]: https://github.com/stdlib-js/stats-array-max/tree/deno
[deno-readme]: https://github.com/stdlib-js/stats-array-max/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/stats-array-max/tree/umd
[umd-readme]: https://github.com/stdlib-js/stats-array-max/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/stats-array-max/tree/esm
[esm-readme]: https://github.com/stdlib-js/stats-array-max/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/stats-array-max/blob/main/branches.md

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-array-max/main/LICENSE

[@stdlib/array/base/accessor]: https://www.npmjs.com/package/@stdlib/array-base-accessor

</section>

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