diff --git a/lib/node_modules/@stdlib/stats/incr/nangmean/README.md b/lib/node_modules/@stdlib/stats/incr/nangmean/README.md
new file mode 100644
index 000000000000..f2a8deb08ac0
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nangmean/README.md
@@ -0,0 +1,149 @@
+
+
+# incrnangmean
+
+> Compute a [geometric mean][geometric-mean] incrementally, ignoring `NaN` values.
+
+
+
+The [geometric mean][geometric-mean] is defined as the nth root of a product of _n_ numbers.
+
+
+
+```math
+\biggl( \prod_{i=0}^{n-1} x_i \biggr)^{\frac{1}{n}} = \sqrt[n]{x_0 x_1 \cdots x_{n-1}}
+```
+
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var incrnangmean = require( '@stdlib/stats/incr/nangmean' );
+```
+
+#### incrnangmean()
+
+Returns an accumulator `function` which incrementally computes a [geometric mean][geometric-mean], ignoring `NaN` values.
+
+```javascript
+var accumulator = incrnangmean();
+```
+
+#### accumulator( \[x] )
+
+If provided an input value `x`, the accumulator function returns an updated [geometric mean][geometric-mean]. If not provided an input value `x`, the accumulator function returns the current [geometric mean][geometric-mean].
+
+```javascript
+var accumulator = incrnangmean();
+
+var prod = accumulator( 2.0 );
+// returns 2.0
+
+prod = accumulator( 1.0 );
+// returns ~1.414
+
+prod = accumulator( NaN );
+// returns ~1.414
+
+prod = accumulator( 3.0 );
+// returns ~1.817
+
+prod = accumulator();
+// returns ~1.817
+```
+
+
+
+
+
+
+
+## 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.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var incrnangmean = require( '@stdlib/stats/incr/nangmean' );
+
+var accumulator;
+var v;
+var i;
+
+// Initialize an accumulator:
+accumulator = incrnangmean();
+
+// For each simulated value, update the geometric mean...
+for ( i = 0; i < 100; i++ ) {
+ if ( bernoulli( 0.2 ) ) {
+ v = NaN;
+ } else {
+ v = uniform( 0.0, 100.0 );
+ }
+ accumulator( v );
+}
+console.log( accumulator() );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[geometric-mean]: https://en.wikipedia.org/wiki/Geometric_mean
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/incr/nangmean/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/incr/nangmean/benchmark/benchmark.js
new file mode 100644
index 000000000000..3462392366f7
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nangmean/benchmark/benchmark.js
@@ -0,0 +1,69 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 pkg = require( './../package.json' ).name;
+var incrnangmean = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+ var f;
+ var i;
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ f = incrnangmean();
+ 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( pkg+'::accumulator', function benchmark( b ) {
+ var acc;
+ var v;
+ var i;
+
+ acc = incrnangmean();
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = acc( randu()*10.0 );
+ 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();
+});
diff --git a/lib/node_modules/@stdlib/stats/incr/nangmean/docs/img/equation_geometric_mean.svg b/lib/node_modules/@stdlib/stats/incr/nangmean/docs/img/equation_geometric_mean.svg
new file mode 100644
index 000000000000..09660f01bb97
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nangmean/docs/img/equation_geometric_mean.svg
@@ -0,0 +1,68 @@
+
\ No newline at end of file
diff --git a/lib/node_modules/@stdlib/stats/incr/nangmean/docs/repl.txt b/lib/node_modules/@stdlib/stats/incr/nangmean/docs/repl.txt
new file mode 100644
index 000000000000..21d21fa2b667
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nangmean/docs/repl.txt
@@ -0,0 +1,34 @@
+
+{{alias}}()
+ Returns an accumulator function which incrementally computes a geometric
+ mean, ignoring `NaN` values.
+
+ If provided a value, the accumulator function returns an updated geometric
+ mean. If not provided a value, the accumulator function returns the current
+ geometric mean.
+
+ If provided a negative value, the accumulated value is `NaN` for all future
+ invocations.
+
+ Returns
+ -------
+ acc: Function
+ Accumulator function.
+
+ Examples
+ --------
+ > var accumulator = {{alias}}();
+ > var v = accumulator()
+ null
+ > v = accumulator( 2.0 )
+ 2.0
+ > v = accumulator( NaN )
+ 2.0
+ > v = accumulator( 5.0 )
+ ~3.16
+ > v = accumulator()
+ ~3.16
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/incr/nangmean/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/incr/nangmean/docs/types/index.d.ts
new file mode 100644
index 000000000000..1841ab45e572
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nangmean/docs/types/index.d.ts
@@ -0,0 +1,59 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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
+
+///
+
+/**
+* If provided a value, returns an updated geometric mean; otherwise, returns the current geometric mean.
+*
+* @param x - value
+* @returns geometric mean
+*/
+type accumulator = ( x?: number ) => number | null;
+
+/**
+* Returns an accumulator function which incrementally computes a geometric mean, ignoring `NaN` values.
+*
+* @returns accumulator function
+*
+* @example
+* var accumulator = incrnangmean();
+*
+* var v = accumulator();
+* // returns null
+*
+* v = accumulator( 2.0 );
+* // returns 2.0
+*
+* v = accumulator( NaN );
+* // returns 2.0
+*
+* v = accumulator( 5.0 );
+* // returns ~3.16
+*
+* v = accumulator();
+* // returns ~3.16
+*/
+declare function incrnangmean(): accumulator;
+
+
+// EXPORTS //
+
+export = incrnangmean;
diff --git a/lib/node_modules/@stdlib/stats/incr/nangmean/docs/types/test.ts b/lib/node_modules/@stdlib/stats/incr/nangmean/docs/types/test.ts
new file mode 100644
index 000000000000..7fe1b490faf0
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nangmean/docs/types/test.ts
@@ -0,0 +1,61 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 incrnangmean = require( './index' );
+
+
+// TESTS //
+
+// The function returns an accumulator function...
+{
+ incrnangmean(); // $ExpectType accumulator
+}
+
+// The compiler throws an error if the function is provided arguments...
+{
+ incrnangmean( '5' ); // $ExpectError
+ incrnangmean( 5 ); // $ExpectError
+ incrnangmean( true ); // $ExpectError
+ incrnangmean( false ); // $ExpectError
+ incrnangmean( null ); // $ExpectError
+ incrnangmean( undefined ); // $ExpectError
+ incrnangmean( [] ); // $ExpectError
+ incrnangmean( {} ); // $ExpectError
+ incrnangmean( ( x: number ): number => x ); // $ExpectError
+}
+
+// The function returns an accumulator function which returns an accumulated result...
+{
+ const acc = incrnangmean();
+
+ acc(); // $ExpectType number | null
+ acc( 3.14 ); // $ExpectType number | null
+}
+
+// The compiler throws an error if the returned accumulator function is provided invalid arguments...
+{
+ const acc = incrnangmean();
+
+ acc( '5' ); // $ExpectError
+ acc( true ); // $ExpectError
+ acc( false ); // $ExpectError
+ acc( null ); // $ExpectError
+ acc( [] ); // $ExpectError
+ acc( {} ); // $ExpectError
+ acc( ( x: number ): number => x ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/incr/nangmean/examples/index.js b/lib/node_modules/@stdlib/stats/incr/nangmean/examples/index.js
new file mode 100644
index 000000000000..bf7a20fc3d5f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nangmean/examples/index.js
@@ -0,0 +1,38 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 bernoulli = require( '@stdlib/random/base/bernoulli' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var incrnangmean = require( './../lib' );
+
+// Initialize an accumulator:
+var accumulator = incrnangmean();
+
+// For each simulated value, update the geometric mean...
+console.log( '\nValue\tGeometric mean\n' );
+var prod;
+var v;
+var i;
+for ( i = 0; i < 100; i++ ) {
+ v = ( bernoulli( 0.2 ) ) ? NaN : uniform( 0.0, 100.0 );
+ prod = accumulator( v );
+ console.log( '%s\t%s', ( v === v ) ? v.toFixed( 4 ) : 'NaN', ( prod === null ) ? 'null' : prod.toFixed( 4 ) );
+}
+console.log( '\nFinal geometric mean: %d\n', accumulator() );
diff --git a/lib/node_modules/@stdlib/stats/incr/nangmean/lib/index.js b/lib/node_modules/@stdlib/stats/incr/nangmean/lib/index.js
new file mode 100644
index 000000000000..8e4abf172d0a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nangmean/lib/index.js
@@ -0,0 +1,54 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 a geometric mean incrementally, ignoring `NaN` values.
+*
+* @module @stdlib/stats/incr/nangmean
+*
+* @example
+* var incrnangmean = require( '@stdlib/stats/incr/nangmean' );
+*
+* var accumulator = incrnangmean();
+*
+* var v = accumulator();
+* // returns null
+*
+* v = accumulator( 2.0 );
+* // returns 2.0
+*
+* v = accumulator( NaN );
+* // returns 2.0
+*
+* v = accumulator( 5.0 );
+* // returns ~3.16
+*
+* v = accumulator();
+* // returns ~3.16
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/incr/nangmean/lib/main.js b/lib/node_modules/@stdlib/stats/incr/nangmean/lib/main.js
new file mode 100644
index 000000000000..496206308bed
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nangmean/lib/main.js
@@ -0,0 +1,74 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 incrgmean = require( '@stdlib/stats/incr/gmean' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+
+
+// MAIN //
+
+/**
+* Returns an accumulator function which incrementally computes a geometric mean, ignoring `NaN` values.
+*
+* @returns {Function} accumulator function
+*
+* @example
+* var accumulator = incrnangmean();
+*
+* var v = accumulator();
+* // returns null
+*
+* v = accumulator( 2.0 );
+* // returns 2.0
+*
+* v = accumulator( NaN );
+* // returns 2.0
+*
+* v = accumulator( 5.0 );
+* // returns ~3.16
+*
+* v = accumulator();
+* // returns ~3.16
+*/
+function incrnangmean() {
+ var gmean = incrgmean();
+ return accumulator;
+
+ /**
+ * If provided a value, the accumulator function returns an updated geometric mean. If not provided a value, the accumulator function returns the current geometric mean.
+ *
+ * @private
+ * @param {number} [x] - new value
+ * @returns {(number|null)} geometric mean or null
+ */
+ function accumulator( x ) {
+ if ( arguments.length === 0 || isnan( x ) ) {
+ return gmean();
+ }
+ return gmean( x );
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = incrnangmean;
diff --git a/lib/node_modules/@stdlib/stats/incr/nangmean/package.json b/lib/node_modules/@stdlib/stats/incr/nangmean/package.json
new file mode 100644
index 000000000000..e28f7a0e591a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nangmean/package.json
@@ -0,0 +1,70 @@
+{
+ "name": "@stdlib/stats/incr/nangmean",
+ "version": "0.0.0",
+ "description": "Compute a geometric mean incrementally, 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",
+ "geometric",
+ "mean",
+ "average",
+ "avg",
+ "central tendency",
+ "product",
+ "prod",
+ "incremental",
+ "accumulator",
+ "nan",
+ "ignore"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/stats/incr/nangmean/test/test.js b/lib/node_modules/@stdlib/stats/incr/nangmean/test/test.js
new file mode 100644
index 000000000000..b4d942a1915b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nangmean/test/test.js
@@ -0,0 +1,150 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 ln = require( '@stdlib/math/base/special/ln' );
+var exp = require( '@stdlib/math/base/special/exp' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var EPSILON = require( '@stdlib/constants/float64/eps' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var incrnangmean = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof incrnangmean, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function returns an accumulator function', function test( t ) {
+ t.strictEqual( typeof incrnangmean(), 'function', 'returns a function' );
+ t.end();
+});
+
+tape( 'the accumulator function incrementally computes a geometric mean', function test( t ) {
+ var expected;
+ var actual;
+ var delta;
+ var data;
+ var prod;
+ var tol;
+ var acc;
+ var N;
+ var d;
+ var i;
+ var j;
+
+ data = [ 2.0, 3.0, NaN, 2.0, 4.0, NaN, 3.0, 4.0 ];
+ N = data.length;
+
+ acc = incrnangmean();
+
+ prod = 1.0;
+ j = 0;
+ for ( i = 0; i < N; i++ ) {
+ d = data[ i ];
+ if ( !isnan( d ) ) {
+ prod *= d;
+ expected = pow( prod, 1.0/(j+1) );
+ j += 1;
+ }
+ actual = acc( d );
+ if ( actual === expected ) {
+ t.strictEqual( actual, expected, 'returns expected value. d: '+d+'.' );
+ } else {
+ delta = abs( expected - actual );
+ tol = 1.5 * EPSILON * abs( expected );
+ t.strictEqual( delta <= tol, true, 'within tolerance. d: '+d+'. Expected: '+expected+'. Actual: '+actual+'. Delta: '+delta+'. Tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'if not provided an input value, the accumulator function returns the current geometric mean', function test( t ) {
+ var expected;
+ var delta;
+ var data;
+ var acc;
+ var tol;
+ var i;
+
+ data = [ 2.0, NaN, 3.0, 1.0 ];
+
+ acc = incrnangmean();
+ for ( i = 0; i < data.length; i++ ) {
+ acc( data[ i ] );
+ }
+ expected = 1.8171205928321397;
+ delta = abs( expected - acc() );
+ tol = EPSILON * abs( expected );
+
+ t.strictEqual( delta <= tol, true, 'within tolerance. Expected: '+expected+'. Actual: '+acc()+'. Delta: '+delta+'. Tol: '+tol+'.' );
+ t.end();
+});
+
+tape( 'the accumulator function can return a result which overflows', function test( t ) {
+ var acc = incrnangmean();
+ var i;
+
+ for ( i = 0; i < 10000; i++ ) {
+ acc( 1.7976931348623157e+308 );
+ }
+ t.strictEqual( acc(), PINF, 'returns infinity' );
+ t.end();
+});
+
+tape( 'the accumulator function can return a result which underflows', function test( t ) {
+ var acc = incrnangmean();
+ var i;
+
+ for ( i = 0; i < 10000; i++ ) {
+ acc( 5.0e-324 );
+ }
+ t.strictEqual( acc(), 0.0, 'returns 0' );
+ t.end();
+});
+
+tape( 'if provided a `NaN`, the accumulator function ignores it', function test( t ) {
+ var acc;
+
+ acc = incrnangmean();
+ acc( 5.0 );
+
+ t.strictEqual( acc(), 5.0, 'returns expected value' );
+
+ acc( NaN );
+ t.strictEqual( isnan( acc() ), false, 'does not return NaN' );
+
+ acc( 3.14 );
+ t.strictEqual( acc(), exp( ( ln( 5.0 ) + ln( 3.14 ) ) / 2 ), 'correctly updates after NaN');
+ t.end();
+});
+
+tape( 'if the accumulator function has not been provided any data, the accumulator function returns `null`', function test( t ) {
+ var acc = incrnangmean();
+ t.strictEqual( acc(), null, 'returns expected value' );
+ t.end();
+});