npm package: @stdlib/stats-base-ndarray-nanmaxabs
Description: Compute the maximum absolute value of a one-dimensional ndarray, ignoring `NaN` values.
Author: The Stdlib Authors
Latest version: 0.1.1

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<details>
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    About stdlib...
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# nanmaxabs

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

> Compute the maximum absolute value of a one-dimensional ndarray, ignoring `NaN` values.

<section class="intro">

</section>

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<section class="installation">

## Installation

```bash
npm install @stdlib/stats-base-ndarray-nanmaxabs
```

</section>

<section class="usage">

## Usage

```javascript
var nanmaxabs = require( '@stdlib/stats-base-ndarray-nanmaxabs' );
```

#### nanmaxabs( arrays )

Computes the maximum absolute value of a one-dimensional ndarray, ignoring `NaN` values.

```javascript
var ndarray = require( '@stdlib/ndarray-base-ctor' );

var xbuf = [ 1.0, -2.0, NaN, 2.0 ];
var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var v = nanmaxabs( [ x ] );
// returns 2.0
```

The function has the following parameters:

-   **arrays**: array-like object containing a one-dimensional input ndarray.

</section>

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<section class="notes">

## Notes

-   If provided an empty one-dimensional ndarray, the function returns `NaN`.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var uniform = require( '@stdlib/random-base-uniform' );
var filledarrayBy = require( '@stdlib/array-filled-by' );
var bernoulli = require( '@stdlib/random-base-bernoulli' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var nanmaxabs = require( '@stdlib/stats-base-ndarray-nanmaxabs' );

function rand() {
    if ( bernoulli( 0.8 ) < 1 ) {
        return NaN;
    }
    return uniform( -50.0, 50.0 );
}

var xbuf = filledarrayBy( 10, 'generic', rand );
var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );

var v = nanmaxabs( [ x ] );
console.log( v );
```

</section>

<!-- /.examples -->

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* * *

## 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].

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