From b303abc77cdbbba9cc826eaf247063532868b89a Mon Sep 17 00:00:00 2001
From: Partha Das <parthodasm@gmail.com>
Date: Sun, 5 Apr 2026 18:11:01 +0600
Subject: [PATCH] feat: add stats/strided/nancumax

---
 .../@stdlib/stats/strided/nancumax/README.md  | 185 +++++++++++++
 .../strided/nancumax/benchmark/benchmark.js   | 112 ++++++++
 .../nancumax/benchmark/benchmark.ndarray.js   | 112 ++++++++
 .../stats/strided/nancumax/docs/repl.txt      | 110 ++++++++
 .../strided/nancumax/docs/types/index.d.ts    | 109 ++++++++
 .../stats/strided/nancumax/docs/types/test.ts | 247 ++++++++++++++++++
 .../stats/strided/nancumax/examples/index.js  |  41 +++
 .../stats/strided/nancumax/lib/accessors.js   |  99 +++++++
 .../stats/strided/nancumax/lib/index.js       |  59 +++++
 .../stats/strided/nancumax/lib/main.js        |  53 ++++
 .../stats/strided/nancumax/lib/ndarray.js     |  88 +++++++
 .../stats/strided/nancumax/package.json       |  71 +++++
 .../stats/strided/nancumax/test/test.js       |  38 +++
 .../stats/strided/nancumax/test/test.main.js  | 224 ++++++++++++++++
 .../strided/nancumax/test/test.ndarray.js     | 223 ++++++++++++++++
 15 files changed, 1771 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/README.md
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/benchmark/benchmark.ndarray.js
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/lib/accessors.js
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/lib/ndarray.js
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/package.json
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/test/test.js
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/test/test.main.js
 create mode 100644 lib/node_modules/@stdlib/stats/strided/nancumax/test/test.ndarray.js

diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/README.md b/lib/node_modules/@stdlib/stats/strided/nancumax/README.md
new file mode 100644
index 000000000000..6e64fc0b1e0c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/README.md
@@ -0,0 +1,185 @@
+<!--
+
+@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.
+
+-->
+
+# nancumax
+
+> Calculate the cumulative maximum of a strided array, ignoring `NaN` values.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var nancumax = require( '@stdlib/stats/strided/nancumax' );
+```
+
+#### nancumax( N, x, strideX, y, strideY )
+
+Computes the cumulative maximum of a strided array `x`, ignoring `NaN` values.
+
+```javascript
+var x = [ 1.0, -2.0, NaN, 2.0 ];
+var y = [ 0.0, 0.0, 0.0, 0.0 ];
+
+var v = nancumax( x.length, x, 1, y, 1 );
+// returns [ 1.0, 1.0, 1.0, 2.0 ]
+```
+
+The function has the following parameters:
+
+-   **N**: number of indexed elements.
+-   **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
+-   **strideX**: stride length for `x`.
+-   **y**: output [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
+-   **strideY**: stride length for `y`.
+
+The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the cumulative maximum of every other element in `x`,
+
+```javascript
+var x = [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN, NaN ];
+var y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+var v = nancumax( 5, x, 2, y, 1 );
+// returns [ 1.0, 2.0, 2.0, 4.0, 4.0 ]
+```
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+<!-- eslint-disable stdlib/capitalized-comments -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, NaN, NaN, 4.0 ] );
+var y0 = new Float64Array( 4 );
+var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*0 );
+
+var v = nancumax( 4, x1, 2, y1, 1 );
+// returns <Float64Array>[ 1.0, 1.0, 1.0, 4.0 ]
+```
+
+#### nancumax.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )
+
+Computes the cumulative maximum of a strided array, ignoring `NaN` values and using alternative indexing semantics.
+
+```javascript
+var x = [ 1.0, -2.0, NaN, 2.0 ];
+var y = [ 0.0, 0.0, 0.0, 0.0 ];
+
+var v = nancumax.ndarray( x.length, x, 1, 0, y, 1, 0 );
+// returns [ 1.0, 1.0, 1.0, 2.0 ]
+```
+
+The function has the following additional parameters:
+
+-   **offsetX**: starting index for `x`.
+-   **offsetY**: starting index for `y`.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on a starting index. For example, to calculate the cumulative maximum for every other element in `x` starting from the second element
+
+```javascript
+var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, NaN, NaN, 2.0, 3.0, 4.0 ];
+var y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+var v = nancumax.ndarray( 5, x, 2, 1, y, 1, 0 );
+// returns [ 1.0, 1.0, 1.0, 2.0, 4.0 ]
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   If `N <= 0`, both functions return the output array unchanged.
+-   Both functions support 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 uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var zeros = require( '@stdlib/array/zeros' );
+var nancumax = require( '@stdlib/stats/strided/nancumax' );
+
+function rand() {
+    if ( bernoulli( 0.8 ) < 1 ) {
+        return NaN;
+    }
+    return uniform( -50.0, 50.0 );
+}
+
+var x = filledarrayBy( 10, 'float64', rand );
+console.log( x );
+
+var y = zeros( 10, 'float64' );
+console.log( y );
+
+var v = nancumax( x.length, x, 1, y, 1 );
+console.log( v );
+```
+
+</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">
+
+[mdn-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
+
+<!-- <related-links> -->
+
+<!-- </related-links> -->
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/strided/nancumax/benchmark/benchmark.js
new file mode 100644
index 000000000000..47f1c60ac2f6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/benchmark/benchmark.js
@@ -0,0 +1,112 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var zeros = require( '@stdlib/array/zeros' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var pkg = require( './../package.json' ).name;
+var nancumax = require( './../lib/main.js' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var x = filledarrayBy( len, 'generic', rand );
+	var y = zeros( len, 'generic' );
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var v;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			v = nancumax( x.length, x, 1, y, 1 );
+			if ( isnan( v[ 0 ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( v[ 0 ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		len = pow( 10, i );
+		f = createBenchmark( len );
+		bench( pkg+':len='+len, f );
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/strided/nancumax/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..cec56a702aad
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/benchmark/benchmark.ndarray.js
@@ -0,0 +1,112 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var zeros = require( '@stdlib/array/zeros' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var pkg = require( './../package.json' ).name;
+var nancumax = require( './../lib/ndarray.js' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var x = filledarrayBy( len, 'generic', rand );
+	var y = zeros( len, 'generic' );
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var v;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			v = nancumax( x.length, x, 1, 0, y, 1, 0 );
+			if ( isnan( v[ 0 ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( v[ 0 ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		len = pow( 10, i );
+		f = createBenchmark( len );
+		bench( pkg+':ndarray:len='+len, f );
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/docs/repl.txt b/lib/node_modules/@stdlib/stats/strided/nancumax/docs/repl.txt
new file mode 100644
index 000000000000..2de2967556ca
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/docs/repl.txt
@@ -0,0 +1,110 @@
+
+{{alias}}( N, x, strideX, y, strideY )
+    Computes the cumulative maximum of a strided array, ignoring `NaN` values.
+
+    The `N` and stride parameters determine which elements in the strided array
+    are accessed at runtime.
+
+    Indexing is relative to the first index. To introduce an offset, use a typed
+    array view.
+
+    If `N <= 0`, the function returns the output array unchanged.
+
+    Parameters
+    ----------
+    N: integer
+        Number of indexed elements.
+
+    x: Array<number>|TypedArray
+        Input array.
+
+    strideX: integer
+        Stride length for `x`.
+
+    y: Array<number>|TypedArray
+        Output array.
+
+    strideY: integer
+        Stride length for `y`.
+
+    Returns
+    -------
+    out: Array<number>|TypedArray
+        Output array.
+
+    Examples
+    --------
+    // Standard Usage:
+    > var x = [ 1.0, -2.0, NaN, 2.0 ];
+    > var y = [ 0.0, 0.0, 0.0, 0.0 ];
+    > {{alias}}( x.length, x, 1, y, 1 )
+    [ 1.0, 1.0, 1.0, 2.0 ]
+
+    // Using `N` and stride parameters:
+    > x = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ];
+    > y = [ 0.0, 0.0, 0.0, 0.0 ];
+    > {{alias}}( 4, x, 2, y, 1 )
+    [ -2, 1, 2, 2 ]
+
+    // Using view offsets:
+    > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );
+    > var y0 = new {{alias:@stdlib/array/float64}}( 4 );
+    > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
+    > var y1 = new {{alias:@stdlib/array/float64}}( y0.buffer, y0.BYTES_PER_ELEMENT*0 );
+    > {{alias}}( 4, x1, 2, y1, 1 )
+    <Float64Array>[ -2.0, 2.0, 2.0, 2.0 ]
+
+
+{{alias}}.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )
+    Computes the cumulative maximum of a strided array, ignoring `NaN` values
+    and using alternative indexing semantics.
+
+    While typed array views mandate a view offset based on the underlying
+    buffer, the `offset` parameter supports indexing semantics based on a
+    starting index.
+
+    Parameters
+    ----------
+    N: integer
+        Number of indexed elements.
+
+    x: Array<number>|TypedArray
+        Input array.
+
+    strideX: integer
+        Stride length for `x`.
+
+    offsetX: integer
+        Starting index for `x`.
+
+    y: Array<number>|TypedArray
+        Output array.
+
+    strideY: integer
+        Stride length for `y`.
+
+    offsetY: integer
+        Starting index for `y`.
+
+    Returns
+    -------
+    out: Array<number>|TypedArray
+        Output array.
+
+    Examples
+    --------
+    // Standard Usage:
+    > var x = [ 1.0, -2.0, NaN, 2.0 ];
+    > var y = [ 0.0, 0.0, 0.0, 0.0 ];
+    > {{alias}}.ndarray( x.length, x, 1, 0, y, 1, 0 )
+    [ 1.0, 1.0, 1.0, 2.0 ]
+
+    // Using offset parameter:
+    > var x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ];
+    > var y = [ 0.0, 0.0, 0.0, 0.0 ];
+    > {{alias}}.ndarray( 4, x, 2, 1, y, 1, 0 )
+    [ -2.0, 2.0, 2.0, 2.0 ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/strided/nancumax/docs/types/index.d.ts
new file mode 100644
index 000000000000..82ebbfba6dee
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/docs/types/index.d.ts
@@ -0,0 +1,109 @@
+/*
+* @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 { NumericArray, Collection, AccessorArrayLike } from '@stdlib/types/array';
+
+/**
+* Input array.
+*/
+type InputArray = NumericArray | Collection<number> | AccessorArrayLike<number>;
+
+/**
+* Output array.
+*/
+type OutputArray = NumericArray | Collection<number> | AccessorArrayLike<number>;
+
+/**
+* Interface describing `nancumax`.
+*/
+interface Routine {
+	/**
+	* Computes the cumulative maximum of a strided array, ignoring `NaN` values.
+	*
+	* @param N - number of indexed elements
+	* @param x - input array
+	* @param strideX - stride length for `x`
+	* @param y - output array
+	* @param strideY - stride length for `y`
+	* @returns output array
+	*
+	* @example
+	* var x = [ 1.0, -2.0, NaN, 2.0 ];
+	* var y = [ 0.0, 0.0, 0.0, 0.0 ];
+	*
+	* var v = nancumax( x.length, x, 1, y, 1 );
+	* // returns [ 1.0, 1.0, 1.0, 2.0 ]
+	*/
+	( N: number, x: InputArray, strideX: number, y: OutputArray, strideY: number ): OutputArray;
+
+	/**
+	* Computes the cumulative maximum of a strided array, ignoring `NaN` values and using alternative indexing semantics.
+	*
+	* @param N - number of indexed elements
+	* @param x - input array
+	* @param strideX - stride length for `x`
+	* @param offsetX - starting index for `x`
+	* @param y - output array
+	* @param strideY - stride length for `y`
+	* @param offsetY - starting index for `y`
+	* @returns output array
+	*
+	* @example
+	* var x = [ 1.0, -2.0, NaN, 2.0 ];
+	* var y = [ 0.0, 0.0, 0.0, 0.0 ];
+	*
+	* var v = nancumax.ndarray( x.length, x, 1, 0, y, 1, 0 );
+	* // returns [ 1.0, 1.0, 1.0, 2.0 ]
+	*/
+	ndarray( N: number, x: InputArray, strideX: number, offsetX: number, y: OutputArray, strideY: number, offsetY: number ): OutputArray;
+}
+
+/**
+* Computes the cumulative maximum of a strided array, ignoring `NaN` values.
+*
+* @param N - number of indexed elements
+* @param x - input array
+* @param strideX - stride length for `x`
+* @param y - output array
+* @param strideY - stride length for `y`
+* @returns output array
+*
+* @example
+* var x = [ 1.0, -2.0, NaN, 2.0 ];
+* var y = [ 0.0, 0.0, 0.0, 0.0 ];
+*
+* var v = nancumax( x.length, x, 1, y, 1 );
+* // returns [ 1.0, 1.0, 1.0, 2.0 ]
+*
+* @example
+* var x = [ 1.0, -2.0, NaN, 2.0 ];
+* var y = [ 0.0, 0.0, 0.0, 0.0 ];
+*
+* var v = nancumax.ndarray( x.length, x, 1, 0, y, 1, 0 );
+* // returns [ 1.0, 1.0, 1.0, 2.0 ]
+*/
+declare var nancumax: Routine;
+
+
+// EXPORTS //
+
+export = nancumax;
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/docs/types/test.ts b/lib/node_modules/@stdlib/stats/strided/nancumax/docs/types/test.ts
new file mode 100644
index 000000000000..2f8b17088124
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/docs/types/test.ts
@@ -0,0 +1,247 @@
+/*
+* @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 AccessorArray = require( '@stdlib/array/base/accessor' );
+import nancumax = require( './index' );
+
+
+// TESTS //
+
+// The function returns an array...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax( x.length, x, 1, y, 1 ); // $ExpectType OutputArray
+	nancumax( x.length, new AccessorArray( x ), 1, new AccessorArray( y ), 1 ); // $ExpectType OutputArray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a number...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax( '10', x, 1, y, 1 ); // $ExpectError
+	nancumax( true, x, 1, y, 1 ); // $ExpectError
+	nancumax( false, x, 1, y, 1 ); // $ExpectError
+	nancumax( null, x, 1, y, 1 ); // $ExpectError
+	nancumax( undefined, x, 1, y, 1 ); // $ExpectError
+	nancumax( [], x, 1, y, 1 ); // $ExpectError
+	nancumax( {}, x, 1, y, 1 ); // $ExpectError
+	nancumax( ( x: number ): number => x, x, 1, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a numeric array...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax( x.length, 10, 1, y, 1 ); // $ExpectError
+	nancumax( x.length, '10', 1, y, 1 ); // $ExpectError
+	nancumax( x.length, true, 1, y, 1 ); // $ExpectError
+	nancumax( x.length, false, 1, y, 1 ); // $ExpectError
+	nancumax( x.length, null, 1, y, 1 ); // $ExpectError
+	nancumax( x.length, undefined, 1, y, 1 ); // $ExpectError
+	nancumax( x.length, {}, 1, y, 1 ); // $ExpectError
+	nancumax( x.length, ( x: number ): number => x, 1, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax( x.length, x, '10', y, 1 ); // $ExpectError
+	nancumax( x.length, x, true, y, 1 ); // $ExpectError
+	nancumax( x.length, x, false, y, 1 ); // $ExpectError
+	nancumax( x.length, x, null, y, 1 ); // $ExpectError
+	nancumax( x.length, x, undefined, y, 1 ); // $ExpectError
+	nancumax( x.length, x, [], y, 1 ); // $ExpectError
+	nancumax( x.length, x, {}, y, 1 ); // $ExpectError
+	nancumax( x.length, x, ( x: number ): number => x, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a numeric array...
+{
+	const x = new Float64Array( 10 );
+
+	nancumax( x.length, x, 1, 10, 1 ); // $ExpectError
+	nancumax( x.length, x, 1, '10', 1 ); // $ExpectError
+	nancumax( x.length, x, 1, true, 1 ); // $ExpectError
+	nancumax( x.length, x, 1, false, 1 ); // $ExpectError
+	nancumax( x.length, x, 1, null, 1 ); // $ExpectError
+	nancumax( x.length, x, 1, undefined, 1 ); // $ExpectError
+	nancumax( x.length, x, 1, {}, 1 ); // $ExpectError
+	nancumax( x.length, x, 1, ( x: number ): number => x, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a number...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax( x.length, x, 1, y, '10' ); // $ExpectError
+	nancumax( x.length, x, 1, y, true ); // $ExpectError
+	nancumax( x.length, x, 1, y, false ); // $ExpectError
+	nancumax( x.length, x, 1, y, null ); // $ExpectError
+	nancumax( x.length, x, 1, y, undefined ); // $ExpectError
+	nancumax( x.length, x, 1, y, [] ); // $ExpectError
+	nancumax( x.length, x, 1, y, {} ); // $ExpectError
+	nancumax( x.length, x, 1, y, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax(); // $ExpectError
+	nancumax( x.length ); // $ExpectError
+	nancumax( x.length, x ); // $ExpectError
+	nancumax( x.length, x, 1 ); // $ExpectError
+	nancumax( x.length, x, 1, y ); // $ExpectError
+	nancumax( x.length, x, 1, y, 1, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns an array...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax.ndarray( x.length, x, 1, 0, y, 1, 0 ); // $ExpectType OutputArray
+	nancumax.ndarray( x.length, new AccessorArray( x ), 1, 0, new AccessorArray( y ), 1, 0 ); // $ExpectType OutputArray
+}
+
+// The compiler throws an error if the `ndarray` method is provided a first argument which is not a number...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax.ndarray( '10', x, 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( true, x, 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( false, x, 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( null, x, 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( undefined, x, 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( [], x, 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( {}, x, 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( ( x: number ): number => x, x, 1, 0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a second argument which is not a numeric array...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax.ndarray( x.length, 10, 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, '10', 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, true, 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, false, 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, null, 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, undefined, 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, {}, 1, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, ( x: number ): number => x, 1, 0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a third argument which is not a number...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax.ndarray( x.length, x, '10', 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, true, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, false, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, null, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, undefined, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, [], 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, {}, 0, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, ( x: number ): number => x, 0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fourth argument which is not a number...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax.ndarray( x.length, x, 1, '10', y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, true, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, false, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, null, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, undefined, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, [], y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, {}, y, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, ( x: number ): number => x, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fifth argument which is not a numeric array...
+{
+	const x = new Float64Array( 10 );
+
+	nancumax.ndarray( x.length, x, 1, 0, 10, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, '10', 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, true, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, false, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, null, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, undefined, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, {}, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a sixth argument which is not a number...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax.ndarray( x.length, x, 1, 0, y, '10', 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, true, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, false, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, null, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, undefined, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, [], 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, {}, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a seventh argument which is not a number...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax.ndarray( x.length, x, 1, 0, y, 1, '10' ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, 1, true ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, 1, false ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, 1, null ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, 1, undefined ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, 1, [] ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, 1, {} ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+	const x = new Float64Array( 10 );
+	const y = new Float64Array( 10 );
+
+	nancumax.ndarray(); // $ExpectError
+	nancumax.ndarray( x.length ); // $ExpectError
+	nancumax.ndarray( x.length, x ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, 1 ); // $ExpectError
+	nancumax.ndarray( x.length, x, 1, 0, y, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/examples/index.js b/lib/node_modules/@stdlib/stats/strided/nancumax/examples/index.js
new file mode 100644
index 000000000000..c73867718c3c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/examples/index.js
@@ -0,0 +1,41 @@
+/**
+* @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';
+
+var uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var zeros = require( '@stdlib/array/zeros' );
+var nancumax = require( './../lib' );
+
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -50.0, 50.0 );
+}
+
+var x = filledarrayBy( 10, 'float64', rand );
+console.log( x );
+
+var y = zeros( 10, 'float64' );
+console.log( y );
+
+var v = nancumax( x.length, x, 1, y, 1 );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/lib/accessors.js b/lib/node_modules/@stdlib/stats/strided/nancumax/lib/accessors.js
new file mode 100644
index 000000000000..0f8848c4e227
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/lib/accessors.js
@@ -0,0 +1,99 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
+
+
+// MAIN //
+
+/**
+* Computes the cumulative maximum of a strided array, ignoring `NaN` values.
+*
+* @private
+* @param {PositiveInteger} N - number of indexed elements
+* @param {Object} x - input array object
+* @param {Collection} x.data - input array data
+* @param {Array<Function>} x.accessors - array element accessors
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
+* @param {Object} y - output array object
+* @param {Collection} y.data - output array data
+* @param {Array<Function>} y.accessors - array element accessors
+* @param {integer} strideY - stride length
+* @param {NonNegativeInteger} offsetY - starting index
+* @returns {Object} output array object
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
+*
+* var x = toAccessorArray( [ 2.0, 1.0, 2.0, -2.0, NaN, 4.0 ] );
+* var y = toAccessorArray( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+*
+* var v = nancumax( 6, arraylike2object( x ), 1, 0, arraylike2object( y ), 1, 0 );
+* // returns <Object>
+*/
+function nancumax( N, x, strideX, offsetX, y, strideY, offsetY ) {
+	var xbuf;
+	var ybuf;
+	var xget;
+	var yset;
+	var max;
+	var ix;
+	var iy;
+	var v;
+	var i;
+
+	// Cache references to array data:
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache references to element accessors:
+	xget = x.accessors[ 0 ];
+	yset = y.accessors[ 1 ];
+
+	if ( N <= 0 ) {
+		return y;
+	}
+	ix = offsetX;
+	iy = offsetY;
+	max = -Infinity;
+
+	for ( i = 0; i < N; i++ ) {
+		v = xget( xbuf, ix );
+		if ( isnan( v ) === false ) {
+			if ( v > max || ( v === max && isPositiveZero( v ) ) ) {
+				max = v;
+			}
+		}
+		yset( ybuf, iy, max );
+		ix += strideX;
+		iy += strideY;
+	}
+	return y;
+}
+
+
+// EXPORTS //
+
+module.exports = nancumax;
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/lib/index.js b/lib/node_modules/@stdlib/stats/strided/nancumax/lib/index.js
new file mode 100644
index 000000000000..537f878d8d62
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/lib/index.js
@@ -0,0 +1,59 @@
+/**
+* @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';
+
+/**
+* Compute the cumulative maximum of a strided array, ignoring `NaN` values.
+*
+* @module @stdlib/stats/strided/nancumax
+*
+* @example
+* var nancumax = require( '@stdlib/stats/strided/nancumax' );
+*
+* var x = [ 1.0, -2.0, NaN, 2.0 ];
+* var y = [ 0.0, 0.0, 0.0, 0.0 ];
+*
+* var v = nancumax( x.length, x, 1, y, 1 );
+* // returns [ 1.0, 1.0, 1.0, 2.0 ]
+*
+* @example
+* var nancumax = require( '@stdlib/stats/strided/nancumax' );
+*
+* var x = [ 2.0, 1.0, 2.0, -2.0, NaN, 2.0, 3.0, 4.0 ];
+* var y = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+*
+* var v = nancumax.ndarray( 4, x, 2, 1, y, 1, 0 );
+* // returns [ 1.0, 1.0, 2.0, 4.0, 0.0, 0.0, 0.0, 0.0 ]
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var main = require( './main.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/lib/main.js b/lib/node_modules/@stdlib/stats/strided/nancumax/lib/main.js
new file mode 100644
index 000000000000..78f9edacb8f7
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/lib/main.js
@@ -0,0 +1,53 @@
+/**
+* @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 stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+/**
+* Computes the cumulative maximum of a strided array, ignoring `NaN` values.
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {NumericArray} x - input array
+* @param {integer} strideX - stride length
+* @param {NumericArray} y - output array
+* @param {integer} strideY - stride length
+* @returns {NumericArray} output array
+*
+* @example
+* var x = [ 1.0, -2.0, NaN, 2.0 ];
+* var y = [ 0.0, 0.0, 0.0, 0.0 ];
+*
+* var v = nancumax( x.length, x, 1, y, 1 );
+* // returns [ 1.0, 1.0, 1.0, 2.0 ]
+*/
+function nancumax( N, x, strideX, y, strideY ) {
+	return ndarray( N, x, strideX, stride2offset( N, strideX ), y, strideY, stride2offset( N, strideY ) );
+}
+
+
+// EXPORTS //
+
+module.exports = nancumax;
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/lib/ndarray.js b/lib/node_modules/@stdlib/stats/strided/nancumax/lib/ndarray.js
new file mode 100644
index 000000000000..0f217880b9dc
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/lib/ndarray.js
@@ -0,0 +1,88 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
+var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
+var accessors = require( './accessors.js' );
+
+
+// MAIN //
+
+/**
+* Computes the cumulative maximum of a strided array, ignoring `NaN` values.
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {NumericArray} x - input array
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
+* @param {NumericArray} y - output array
+* @param {integer} strideY - stride length
+* @param {NonNegativeInteger} offsetY - starting index
+* @returns {NumericArray} output array
+*
+* @example
+* var x = [ 2.0, 1.0, 2.0, -2.0, NaN, 4.0 ];
+* var y = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+*
+* var v = nancumax( 6, x, 1, 0, y, 1, 0 );
+* // returns [ 2.0, 2.0, 2.0, 2.0, 2.0, 4.0 ]
+*/
+function nancumax( N, x, strideX, offsetX, y, strideY, offsetY ) {
+	var max;
+	var ix;
+	var iy;
+	var ox;
+	var oy;
+	var v;
+	var i;
+
+	if ( N <= 0 ) {
+		return y;
+	}
+	ox = arraylike2object( x );
+	oy = arraylike2object( y );
+	if ( ox.accessorProtocol || oy.accessorProtocol ) {
+		return accessors( N, ox, strideX, offsetX, oy, strideY, offsetY );
+	}
+	ix = offsetX;
+	iy = offsetY;
+	max = -Infinity;
+
+	for ( i = 0; i < N; i++ ) {
+		v = x[ ix ];
+		if ( isnan( v ) === false ) {
+			if ( v > max || ( v === max && isPositiveZero( v ) ) ) {
+				max = v;
+			}
+		}
+		y[ iy ] = max;
+		ix += strideX;
+		iy += strideY;
+	}
+	return y;
+}
+
+
+// EXPORTS //
+
+module.exports = nancumax;
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/package.json b/lib/node_modules/@stdlib/stats/strided/nancumax/package.json
new file mode 100644
index 000000000000..70f19bc0f255
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/package.json
@@ -0,0 +1,71 @@
+{
+  "name": "@stdlib/stats/strided/nancumax",
+  "version": "0.0.0",
+  "description": "Calculate the cumulative maximum of a strided array, ignoring `NaN` values.",
+  "license": "Apache-2.0",
+  "author": {
+    "name": "The Stdlib Authors",
+    "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+  },
+  "contributors": [
+    {
+      "name": "The Stdlib Authors",
+      "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+    }
+  ],
+  "main": "./lib",
+  "directories": {
+    "benchmark": "./benchmark",
+    "doc": "./docs",
+    "example": "./examples",
+    "lib": "./lib",
+    "test": "./test"
+  },
+  "types": "./docs/types",
+  "scripts": {},
+  "homepage": "https://github.com/stdlib-js/stdlib",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/stdlib-js/stdlib.git"
+  },
+  "bugs": {
+    "url": "https://github.com/stdlib-js/stdlib/issues"
+  },
+  "dependencies": {},
+  "devDependencies": {},
+  "engines": {
+    "node": ">=0.10.0",
+    "npm": ">2.7.0"
+  },
+  "os": [
+    "aix",
+    "darwin",
+    "freebsd",
+    "linux",
+    "macos",
+    "openbsd",
+    "sunos",
+    "win32",
+    "windows"
+  ],
+  "keywords": [
+    "stdlib",
+    "stdmath",
+    "statistics",
+    "stats",
+    "mathematics",
+    "math",
+    "maximum",
+    "max",
+    "range",
+    "extremes",
+    "domain",
+    "extent",
+    "accumulate",
+    "cumulative",
+    "strided",
+    "strided array",
+    "array"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/test/test.js b/lib/node_modules/@stdlib/stats/strided/nancumax/test/test.js
new file mode 100644
index 000000000000..13ee5e11cb7d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/test/test.js
@@ -0,0 +1,38 @@
+/**
+* @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 tape = require( 'tape' );
+var nancumax = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof nancumax, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) {
+	t.strictEqual( typeof nancumax.ndarray, 'function', 'method is a function' );
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/test/test.main.js b/lib/node_modules/@stdlib/stats/strided/nancumax/test/test.main.js
new file mode 100644
index 000000000000..f21b0b56c072
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/test/test.main.js
@@ -0,0 +1,224 @@
+/**
+* @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 tape = require( 'tape' );
+var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var nancumax = require( './../lib/main.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof nancumax, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 5', function test( t ) {
+	t.strictEqual( nancumax.length, 5, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function computes the cumulative maximum of a strided array', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+	v = nancumax( x.length, x, 1, y, 1 );
+	t.deepEqual( v, [ 1.0, 1.0, 1.0, 5.0, 5.0, 5.0, 5.0 ], 'returns expected value' );
+
+	x = [ -4.0, NaN, -5.0 ];
+	y = [ 0.0, 0.0, 0.0 ];
+	v = nancumax( x.length, x, 1, y, 1 );
+	t.deepEqual( v, [ -4.0, -4.0, -4.0 ], 'returns expected value' );
+
+	x = [ -0.0, 0.0, NaN, -0.0 ];
+	y = [ 0.0, 0.0, 0.0, 0.0 ];
+	v = nancumax( x.length, x, 1, y, 1 );
+	t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function computes the cumulative maximum of a strided array (accessors)', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+	v = nancumax( x.length, toAccessorArray( x ), 1, toAccessorArray( y ), 1 );
+	t.strictEqual( typeof v, 'object', 'returns expected value' );
+
+	x = [ -4.0, NaN, -5.0 ];
+	y = [ 0.0, 0.0, 0.0 ];
+	v = nancumax( x.length, toAccessorArray( x ), 1, toAccessorArray( y ), 1 );
+	t.strictEqual( typeof v, 'object', 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns the output array unchanged', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+	v = nancumax( 0, x, 1, y, 1 );
+	t.deepEqual( v, [ 0.0, 0.0, 0.0, 0.0, 0.0 ], 'returns expected value' );
+
+	v = nancumax( -1, x, 1, y, 1 );
+	t.deepEqual( v, [ 0.0, 0.0, 0.0, 0.0, 0.0 ], 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports a `stride` parameter', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0,
+		NaN,  // 4
+		NaN
+	];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+	v = nancumax( 5, x, 2, y, 1 );
+	t.deepEqual( v, [ 1.0, 2.0, 2.0, 4.0, 4.0 ], 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a `stride` parameter (accessors)', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0,
+		NaN,  // 4
+		NaN
+	];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+	v = nancumax( 5, toAccessorArray( x ), 2, toAccessorArray( y ), 1 );
+	t.strictEqual( typeof v, 'object', 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [
+		NaN,  // 4
+		NaN,
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+	v = nancumax( 5, x, -2, y, -1 );
+	t.deepEqual( v, [ 4.0, 4.0, 4.0, 4.0, 4.0 ], 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter (accessors)', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [
+		NaN,  // 4
+		NaN,
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+	v = nancumax( 5, toAccessorArray( x ), -2, toAccessorArray( y ), -1 );
+	t.strictEqual( typeof v, 'object', 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports view offsets', function test( t ) {
+	var x0;
+	var x1;
+	var y0;
+	var y1;
+	var v;
+
+	x0 = new Float64Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		-2.0, // 1
+		-2.0,
+		2.0,  // 2
+		3.0,
+		4.0,  // 3
+		NaN,
+		NaN   // 4
+	]);
+	y0 = new Float64Array( 6 );
+
+	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
+	y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*1 );
+
+	v = nancumax( 5, x1, 2, y1, 1 );
+	t.deepEqual( v, [ 1.0, 1.0, 2.0, 4.0, 4.0 ], 'returns expected value' );
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/strided/nancumax/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/strided/nancumax/test/test.ndarray.js
new file mode 100644
index 000000000000..37ffb0ea23e2
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/nancumax/test/test.ndarray.js
@@ -0,0 +1,223 @@
+/**
+* @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 tape = require( 'tape' );
+var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var nancumax = require( './../lib/main.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof nancumax, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 5', function test( t ) {
+	t.strictEqual( nancumax.length, 5, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function computes the cumulative maximum of a strided array', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+	v = nancumax( x.length, x, 1, y, 1 );
+	t.deepEqual( v, [ 1.0, 1.0, 1.0, 5.0, 5.0, 5.0, 5.0 ], 'returns expected value' );
+
+	x = [ -4.0, NaN, -5.0 ];
+	y = [ 0.0, 0.0, 0.0 ];
+	v = nancumax( x.length, x, 1, y, 1 );
+	t.deepEqual( v, [ -4.0, -4.0, -4.0 ], 'returns expected value' );
+
+	x = [ -0.0, 0.0, NaN, -0.0 ];
+	y = [ 0.0, 0.0, 0.0, 0.0 ];
+	v = nancumax( x.length, x, 1, y, 1 );
+	t.strictEqual( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function computes the cumulative maximum of a strided array (accessors)', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+	v = nancumax( x.length, toAccessorArray( x ), 1, toAccessorArray( y ), 1 );
+	t.strictEqual( typeof v, 'object', 'returns expected value' );
+
+	x = [ -4.0, NaN, -5.0 ];
+	y = [ 0.0, 0.0, 0.0 ];
+	v = nancumax( x.length, toAccessorArray( x ), 1, toAccessorArray( y ), 1 );
+	t.strictEqual( typeof v, 'object', 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns the output array unchanged', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+	v = nancumax( 0, x, 1, y, 1 );
+	t.deepEqual( v, [ 0.0, 0.0, 0.0, 0.0, 0.0 ], 'returns expected value' );
+
+	v = nancumax( -1, x, 1, y, 1 );
+	t.deepEqual( v, [ 0.0, 0.0, 0.0, 0.0, 0.0 ], 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports a `stride` parameter', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0,
+		NaN,  // 4
+		NaN
+	];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+	v = nancumax( 5, x, 2, y, 1 );
+	t.deepEqual( v, [ 1.0, 2.0, 2.0, 4.0, 4.0 ], 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a `stride` parameter (accessors)', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0,
+		NaN,  // 4
+		NaN
+	];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+	v = nancumax( 5, toAccessorArray( x ), 2, toAccessorArray( y ), 1 );
+	t.strictEqual( typeof v, 'object', 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [
+		NaN,  // 4
+		NaN,
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+	v = nancumax( 5, x, -2, y, -1 );
+	t.deepEqual( v, [ 4.0, 4.0, 4.0, 4.0, 4.0 ], 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter (accessors)', function test( t ) {
+	var x;
+	var y;
+	var v;
+
+	x = [
+		NaN,  // 4
+		NaN,
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	];
+	y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+	v = nancumax( 5, toAccessorArray( x ), -2, toAccessorArray( y ), -1 );
+	t.strictEqual( typeof v, 'object', 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports view offsets', function test( t ) {
+	var x0;
+	var x1;
+	var y0;
+	var y1;
+	var v;
+
+	x0 = new Float64Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		-2.0, // 1
+		-2.0,
+		2.0,  // 2
+		3.0,
+		4.0,  // 3
+		NaN,
+		NaN   // 4
+	]);
+	y0 = new Float64Array( 6 );
+	x1 = x0.subarray( 1 );
+	y1 = y0.subarray( 1 );
+
+	v = nancumax( 5, x1, 2, y1, 1 );
+	t.deepEqual( v, [ 1.0, 1.0, 2.0, 4.0, 4.0 ], 'returns expected value' );
+	t.end();
+});