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158 changes: 158 additions & 0 deletions lib/node_modules/@stdlib/stats/incr/nanmmeanabs2/README.md
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<!--

@license Apache-2.0

Copyright (c) 2026 The Stdlib Authors.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

-->

# incrnanmmeanabs2

> Compute a moving [arithmetic mean][arithmetic-mean] of squared absolute values incrementally, ignoring `NaN` values.

<section class="intro">

For a window of size `W`, the [arithmetic mean][arithmetic-mean] of squared absolute values is defined as

<!-- <equation class="equation" label="eq:arithmetic_mean_squared_absolute_values" align="center" raw="m = \frac{1}{W} \sum_{i=0}^{W-1} x_i^2" alt="Equation for the arithmetic mean of squared absolute values."> -->

```math
m = \frac{1}{W} \sum_{i=0}^{W-1} x_i^2
```

<!-- <div class="equation" align="center" data-raw-text="m = \frac{1}{W} \sum_{i=0}^{W-1} x_i^2" data-equation="eq:arithmetic_mean_squared_absolute_values">
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@320a89534d4f59b82d162f31e968222555dae2f7/lib/node_modules/@stdlib/stats/incr/nanmmeanabs2/docs/img/equation_arithmetic_mean_squared_absolute_values.svg" alt="Equation for the arithmetic mean of squared absolute values.">
<br>
</div> -->

<!-- </equation> -->

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var incrnanmmeanabs2 = require( '@stdlib/stats/incr/nanmmeanabs2' );
```

#### incrnanmmeanabs2( window )

Returns an accumulator `function` which incrementally computes a moving [arithmetic mean][arithmetic-mean] of squared absolute values, ignoring `NaN` values. The `window` parameter defines the number of values over which to compute the moving mean.

```javascript
var accumulator = incrnanmmeanabs2( 3 );
```

#### accumulator( \[x] )

If provided an input value `x`, the accumulator function returns an updated mean. If not provided an input value `x`, the accumulator function returns the current mean.

```javascript
var accumulator = incrnanmmeanabs2( 3 );

var m = accumulator();
// returns null

// Fill the window...
m = accumulator( 2.0 ); // [2.0]
// returns 4.0

m = accumulator( NaN ); // [2.0]
// returns 4.0

m = accumulator( -1.0 ); // [2.0, -1.0]
// returns 2.5

m = accumulator( 3.0 ); // [2.0, -1.0, 3.0]
// returns ~4.67

// Window begins sliding...
m = accumulator( -7.0 ); // [-1.0, 3.0, -7.0]
// returns ~19.67

m = accumulator( -5.0 ); // [3.0, -7.0, -5.0]
// returns ~27.67

m = accumulator();
// returns ~27.67
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- Input values are **not** type checked. If non-numeric inputs are possible, you are advised to type check and handle accordingly **before** passing the value to the accumulator function.
- As `W` values are needed to fill the window buffer, the first `W-1` returned values are calculated from smaller sample sizes. Until the window is full, each returned value is calculated from all provided values.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var uniform = require( '@stdlib/random/base/uniform' );
var bernoulli = require( '@stdlib/random/base/bernoulli' );
var incrnanmmeanabs2 = require( '@stdlib/stats/incr/nanmmeanabs2' );

var accumulator;
var v;
var i;

// Initialize an accumulator:
accumulator = incrnanmmeanabs2( 5 );

// For each simulated datum, update the moving mean...
for ( i = 0; i < 100; i++ ) {
v = ( bernoulli( 0.8 ) < 1 ) ? NaN : uniform( -50.0, 50.0 );
accumulator( v );
}
console.log( accumulator() );
```

</section>

<!-- /.examples -->

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

<section class="related">

</section>

<!-- /.related -->

<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="links">

[arithmetic-mean]: https://en.wikipedia.org/wiki/Arithmetic_mean


</section>

<!-- /.links -->
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/**
* @license Apache-2.0
*
* Copyright (c) 2026 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

'use strict';

// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var incrnanmmeanabs2 = require( './../lib' );


// MAIN //

bench( pkg, function benchmark( b ) {
var f;
var i;
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
f = incrnanmmeanabs2( (i%5)+1 );
if ( typeof f !== 'function' ) {
b.fail( 'should return a function' );
}
}
b.toc();
if ( typeof f !== 'function' ) {
b.fail( 'should return a function' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( format( '%s::accumulator', pkg ), function benchmark( b ) {
var acc;
var v;
var i;

acc = incrnanmmeanabs2( 5 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
v = acc( randu()-0.5 );
if ( v !== v ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
if ( v !== v ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
b.end();
});
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47 changes: 47 additions & 0 deletions lib/node_modules/@stdlib/stats/incr/nanmmeanabs2/docs/repl.txt
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{{alias}}( W )
Returns an accumulator function which incrementally computes a moving
arithmetic mean of squared absolute values, ignoring `NaN` values.

The `W` parameter defines the number of values over which to compute the
moving mean.

If provided a value, the accumulator function returns an updated moving
mean. If not provided a value, the accumulator function returns the current
moving mean.

As `W` values are needed to fill the window buffer, the first `W-1` returned
values are calculated from smaller sample sizes. Until the window is full,
each returned value is calculated from all provided values.

Parameters
----------
W: integer
Window size.

Returns
-------
acc: Function
Accumulator function.

Examples
--------
> var accumulator = {{alias}}( 3 );
> var m = accumulator()
null
> m = accumulator( 2.0 )
4.0
> m = accumulator( NaN )
4.0
> m = accumulator( -5.0 )
14.5
> m = accumulator( 3.0 )
~12.67
> m = accumulator( 5.0 )
~19.67
> m = accumulator()
~19.67

See Also
--------

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/*
* @license Apache-2.0
*
* Copyright (c) 2026 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

// TypeScript Version: 4.1

/// <reference types="@stdlib/types"/>

/**
* If provided a value, returns an updated arithmetic mean; otherwise, returns the current arithmetic mean.
*
* @param x - value
* @returns arithmetic mean of squared absolute values
*/
type accumulator = ( x?: number ) => number | null;

/**
* Returns an accumulator function which incrementally computes a moving arithmetic mean of squared absolute values, ignoring `NaN` values.
*
* ## Notes
*
* - The `W` parameter defines the number of values over which to compute the moving mean.
* - As `W` values are needed to fill the window buffer, the first `W-1` returned values are calculated from smaller sample sizes. Until the window is full, each returned value is calculated from all provided values.
*
* @param W - window size
* @throws must provide a positive integer
* @returns accumulator function
*
* @example
* var accumulator = incrnanmmeanabs2( 3 );
*
* var m = accumulator();
* // returns null
*
* m = accumulator( 2.0 );
* // returns 4.0
*
* m = accumulator( NaN );
* // returns 4.0
*
* m = accumulator( -5.0 );
* // returns 14.5
*
* m = accumulator( 3.0 );
* // returns ~12.67
*
* m = accumulator( 5.0 );
* // returns ~19.67
*
* m = accumulator();
* // returns ~19.67
*/
declare function incrnanmmeanabs2( W: number ): accumulator;


// EXPORTS //

export = incrnanmmeanabs2;
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