feat: add stats/incr/nanminmaxabs

lib/node_modules/@stdlib/stats/incr/nanminmaxabs/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.
+
+-->
+
+# incrnanminmaxabs
+
+> Compute minimum and maximum absolute values incrementally, ignoring `NaN` values.
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var incrnanminmaxabs = require( '@stdlib/stats/incr/nanminmaxabs' );
+```
+
+#### incrnanminmaxabs( \[out] )
+
+Returns an accumulator `function` which incrementally computes minimum and maximum absolute values, ignoring `NaN` values.
+
+```javascript
+var accumulator = incrnanminmaxabs();
+```
+
+By default, the returned accumulator `function` returns the minimum and maximum absolute values as a two-element `array`. To avoid unnecessary memory allocation, the function supports providing an output (destination) object.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var accumulator = incrnanminmaxabs( new Float64Array( 2 ) );
+```
+
+#### accumulator( \[x] )
+
+If provided an input value `x`, the accumulator function returns updated minimum and maximum absolute values. If not provided an input value `x`, the accumulator function returns the current minimum and maximum absolute values.
+
+```javascript
+var accumulator = incrnanminmaxabs();
+
+var mm = accumulator();
+// returns null
+
+mm = accumulator( 2.0 );
+// returns [ 2.0, 2.0 ]
+
+mm = accumulator( NaN );
+// returns [ 2.0, 2.0 ]
+
+mm = accumulator( 1.0 );
+// returns [ 1.0, 2.0 ]
+
+mm = accumulator( 3.0 );
+// returns [ 1.0, 3.0 ]
+
+mm = accumulator( -7.0 );
+// returns [ 1.0, 7.0 ]
+
+mm = accumulator();
+// returns [ 1.0, 7.0 ]
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   Input values are **not** type checked. If provided `NaN`, the value is **ignored** and does **not** affect the accumulated result. If non-numeric inputs are possible, you are advised to type check and handle accordingly **before** passing the value to the accumulator function.
+
+</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 incrnanminmaxabs = require( '@stdlib/stats/incr/nanminmaxabs' );
+
+// Initialize an accumulator:
+var accumulator = incrnanminmaxabs();
+
+// For each simulated datum, update the minimum and maximum absolute values...
+var i;
+for ( i = 0; i < 100; i++ ) {
+    accumulator( ( bernoulli( 0.8 ) < 1 ) ? NaN : uniform( -50.0, 50.0 ) );
+}
+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">
+
+<!-- <related-links> -->
+
+<!-- </related-links> -->
+
+</section>
+
+<!-- /.links -->

lib/node_modules/@stdlib/stats/incr/nanminmaxabs/benchmark/benchmark.js

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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 uniform = require( '@stdlib/random/base/uniform' );
+var Float64Array = require( '@stdlib/array/float64' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var incrnanminmaxabs = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+	var f;
+	var i;
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		f = incrnanminmaxabs();
+		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 x;
+	var v;
+	var i;
+
+	acc = incrnanminmaxabs();
+
+	x = new Float64Array( b.iterations );
+	for ( i = 0; i < b.iterations; i++ ) {
+		if ( ( i & 7 ) === 7 ) {
+			x[ i ] = NaN;
+		} else {
+			x[ i ] = uniform( -100.0, 100.0 );
+		}
+	}
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = acc( x[ i ] );
+		if ( v !== null && v.length !== 2 ) {
+			b.fail( 'should contain two elements' );
+		}
+	}
+	b.toc();
+	if ( v[ 0 ] !== v[ 0 ] || v[ 1 ] !== v[ 1 ] ) {
+		b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});

lib/node_modules/@stdlib/stats/incr/nanminmaxabs/docs/repl.txt

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+
+{{alias}}( [out] )
+    Returns an accumulator function which incrementally computes a minimum and
+    maximum absolute value, ignoring `NaN` values.
+
+    If provided a value, the accumulator function returns an updated minimum
+    and maximum. If not provided a value, the accumulator function returns the
+    current minimum and maximum.
+
+    Any `NaN` values provided to the accumulator are ignored, and do not
+    affect the accumulated result.
+
+    Parameters
+    ----------
+    out: Array|TypedArray (optional)
+        Output array.
+
+    Returns
+    -------
+    acc: Function
+        Accumulator function.
+
+    Examples
+    --------
+    > var accumulator = {{alias}}();
+    > var mm = accumulator()
+    null
+    > mm = accumulator( 2.0 );
+    > mm = accumulator( -5.0 )
+    [ 2.0, 5.0 ]
+    > mm = accumulator( NaN )
+    [ 2.0, 5.0 ]
+    > mm = accumulator( 3.0 )
+    [ 2.0, 5.0 ]
+    > mm = accumulator()
+    [ 2.0, 5.0 ]
+
+    See Also
+    --------
+

lib/node_modules/@stdlib/stats/incr/nanminmaxabs/docs/types/index.d.ts

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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"/>
+
+import { ArrayLike } from '@stdlib/types/array';
+
+/**
+* If provided a value, the accumulator function returns updated minimum and maximum absolute values. If not provided a value, the accumulator function returns the current minimum and maximum absolute values.
+*
+* ## Notes
+*
+* -   If provided `NaN`, the value is ignored and does not affect the accumulated result.
+*
+* @param x - input value
+* @returns output array or null
+*/
+type accumulator = ( x?: number ) => ArrayLike<number> | null;
+
+/**
+* Returns an accumulator function which incrementally computes minimum and maximum absolute values, ignoring `NaN` values.
+*
+* @param out - output array
+* @returns accumulator function
+*
+* @example
+* var accumulator = incrnanminmaxabs();
+*
+* var mm = accumulator();
+* // returns null
+*
+* mm = accumulator( 2.0 );
+* // returns [ 2.0, 2.0 ]
+*
+* mm = accumulator( NaN );
+* // returns [ 2.0, 2.0 ]
+*
+* mm = accumulator( -5.0 );
+* // returns [ 2.0, 5.0 ]
+*
+* mm = accumulator( 3.0 );
+* // returns [ 2.0, 5.0 ]
+*
+* mm = accumulator();
+* // returns [ 2.0, 5.0 ]
+*/
+declare function incrnanminmaxabs( out?: ArrayLike<number> ): accumulator;
+
+
+// EXPORTS //
+
+export = incrnanminmaxabs;

lib/node_modules/@stdlib/stats/incr/nanminmaxabs/docs/types/test.ts

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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.
+*/
+
+import incrnanminmaxabs = require( './index' );
+
+
+// TESTS //
+
+// The function returns an accumulator function...
+{
+	incrnanminmaxabs(); // $ExpectType accumulator
+	const out = [ 0.0, 0.0 ];
+	incrnanminmaxabs( out ); // $ExpectType accumulator
+}
+
+// The compiler throws an error if the function is provided an argument that is not an array-like object of numbers...
+{
+	incrnanminmaxabs( '5' ); // $ExpectError
+	incrnanminmaxabs( 5 ); // $ExpectError
+	incrnanminmaxabs( true ); // $ExpectError
+	incrnanminmaxabs( false ); // $ExpectError
+	incrnanminmaxabs( null ); // $ExpectError
+	incrnanminmaxabs( {} ); // $ExpectError
+	incrnanminmaxabs( ( x: number ): number => x ); // $ExpectError
+}
+
+// The function returns an accumulator function which returns an accumulated result...
+{
+	const acc = incrnanminmaxabs();
+
+	acc(); // $ExpectType ArrayLike<number> | null
+	acc( 3.14 ); // $ExpectType ArrayLike<number> | null
+}
+
+// The compiler throws an error if the returned accumulator function is provided invalid arguments...
+{
+	const acc = incrnanminmaxabs();
+
+	acc( '5' ); // $ExpectError
+	acc( true ); // $ExpectError
+	acc( false ); // $ExpectError
+	acc( null ); // $ExpectError
+	acc( [] ); // $ExpectError
+	acc( {} ); // $ExpectError
+	acc( ( x: number ): number => x ); // $ExpectError
+}