diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/README.md
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@@ -0,0 +1,126 @@
+
+
+# snanstdev
+
+> Compute the standard deviation of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.
+
+
+
+This package provides an ndarray interface for computing the standard deviation of a one-dimensional
+single-precision floating-point ndarray while ignoring `NaN` values.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var snanstdev = require( '@stdlib/stats/base/ndarray/snanstdev' );
+```
+
+#### snanstdev( arrays )
+
+Computes the standard deviation of a one-dimensional single-precision floating-point ndarray, ignoring NaN values.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = new Float32Array( [ 1.0, 3.0, NaN, 2.0 ] );
+var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var c = new ndarray( 'generic', [ 1 ], [], [ 0 ], 0, 'row-major' );
+
+var v = snanstdev( [ x, c ] );
+// returns ~1.0
+```
+
+The function has the following parameters:
+
+- **arrays**: array-like object containing:
+ - a one-dimensional input ndarray
+ - a zero-dimensional ndarray specifying a degrees of freedom adjustment
+
+
+
+
+
+
+
+## Notes
+
+- If provided an empty one-dimensional ndarray, the function returns `NaN`.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var snanstdev = require( '@stdlib/stats/base/ndarray/snanstdev' );
+
+function rand() {
+ if ( bernoulli( 0.8 ) < 1 ) {
+ return NaN;
+ }
+ return uniform( -50.0, 50.0 );
+}
+
+var xbuf = filledarrayBy( 10, 'float32', rand );
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+
+var c = new ndarray( 'generic', [ 1 ], [], [ 0 ], 0, 'row-major' );
+
+var v = snanstdev( [ x, c ] );
+console.log( v );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/benchmark/benchmark.js
new file mode 100644
index 000000000000..90cc86d23da0
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/benchmark/benchmark.js
@@ -0,0 +1,114 @@
+/**
+* @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/array/uniform' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var snanstdev = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var correction;
+ var xbuf;
+ var x;
+
+ xbuf = uniform( len, -10.0, 10.0, options );
+ x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
+ correction = scalar2ndarray( 1.0, options );
+
+ return benchmark;
+
+ /**
+ * Runs a benchmark.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = snanstdev( [ x, correction ] );
+ if ( isnanf( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+
+ if ( isnanf( v ) ) {
+ 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( format( '%s:len=%d', pkg, len ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/docs/img/equation_arithmetic_mean.svg b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/docs/img/equation_arithmetic_mean.svg
new file mode 100644
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+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/docs/img/equation_arithmetic_mean.svg
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+
\ No newline at end of file
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/docs/repl.txt
new file mode 100644
index 000000000000..a4b416c0f288
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/docs/repl.txt
@@ -0,0 +1,55 @@
+
+{{alias}}( arrays )
+ Computes the standard deviation of a one-dimensional single-precision
+ floating-point ndarray, ignoring `NaN` values.
+
+ If provided an empty one-dimensional ndarray, the function returns `NaN`.
+
+ If the number of non-NaN elements minus the degrees of freedom adjustment
+ is less than or equal to `0`, the function returns `NaN`.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ Array-like object containing two elements: a one-dimensional input
+ ndarray and a zero-dimensional ndarray specifying the degrees of
+ freedom adjustment. Providing a non-zero degrees of freedom adjustment
+ has the effect of adjusting the divisor during the calculation of the
+ standard deviation according to `N-c`, where `N` is the number of
+ non-NaN elements in the input ndarray and `c` corresponds to the
+ provided degrees of freedom adjustment. When computing the standard
+ deviation of a population, setting this parameter to `0` is the
+ standard choice. When computing the corrected sample standard deviation,
+ setting this parameter to `1` is the standard choice (commonly referred
+ to as Bessel's correction).
+
+ Returns
+ -------
+ out: number
+ The standard deviation.
+
+ Examples
+ --------
+ // Create input ndarray:
+ > var xbuf = new {{alias:@stdlib/array/float32}}(
+ ... [ 1.0, -2.0, NaN, 2.0 ]
+ ... );
+ > var dt = 'float32';
+ > var sh = [ xbuf.length ];
+ > var st = [ 1 ];
+ > var oo = 0;
+ > var ord = 'row-major';
+ > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, st, oo, ord );
+
+ // Create correction ndarray:
+ > var opts = { 'dtype': dt };
+ > var correction =
+ ... {{alias:@stdlib/ndarray/from-scalar}}( 1.0, opts );
+
+ // Compute the standard deviation:
+ > {{alias}}( [ x, correction ] )
+ ~2.0817
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/docs/types/index.d.ts
new file mode 100644
index 000000000000..1601119d8466
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/docs/types/index.d.ts
@@ -0,0 +1,49 @@
+/*
+* @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
+
+///
+
+import { float32ndarray, ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the standard deviation of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.
+*
+* @param arrays - array-like object containing a one-dimensional input ndarray and a zero-dimensional ndarray specifying a degrees of freedom adjustment
+* @returns computed standard deviation
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float32Array( [ 1.0, 3.0, NaN, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* // Degrees of freedom adjustment:
+* var c = new ndarray( 'generic', [ 1 ], [], [ 0 ], 0, 'row-major' );
+*
+* var v = snanstdev( [ x, c ] );
+* // returns 1.0
+*/
+declare function snanstdev( arrays: [ float32ndarray, ndarray ] ): number;
+
+
+// EXPORTS //
+
+export = snanstdev;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/docs/types/test.ts
new file mode 100644
index 000000000000..c79106d85744
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/docs/types/test.ts
@@ -0,0 +1,64 @@
+/*
+* @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.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require('@stdlib/ndarray/zeros');
+import scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+import snanstdev = require('./index');
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'float32'
+ });
+ const correction = scalar2ndarray( 1.0, {
+ 'dtype': 'float32'
+ });
+ snanstdev( [ x, correction ] ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+ snanstdev('10'); // $ExpectError
+ snanstdev(10); // $ExpectError
+ snanstdev(true); // $ExpectError
+ snanstdev(false); // $ExpectError
+ snanstdev(null); // $ExpectError
+ snanstdev(undefined); // $ExpectError
+ snanstdev([]); // $ExpectError
+ snanstdev({}); // $ExpectError
+ snanstdev((x: number): number => x); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = zeros([10], {
+ 'dtype': 'float32'
+ });
+
+ const correction = scalar2ndarray( 1.0, {
+ 'dtype': 'float32'
+ });
+
+ snanstdev(); // $ExpectError
+ snanstdev( [ x, correction ], 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/examples/index.js
new file mode 100644
index 000000000000..ad0d37184db9
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/examples/index.js
@@ -0,0 +1,47 @@
+/**
+* @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 ndarray = require( '@stdlib/ndarray/base/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var snanstdev = require( './../lib' );
+
+function rand() {
+ if ( bernoulli( 0.8 ) < 1 ) {
+ return NaN;
+ }
+ return uniform( -50.0, 50.0 );
+}
+
+// Create input ndarray:
+var xbuf = filledarrayBy( 10, 'float32', rand );
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var opts = {
+ 'dtype': 'float32'
+};
+var correction = scalar2ndarray( 1.0, opts );
+
+var v = snanstdev( [ x, correction ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/lib/index.js
new file mode 100644
index 000000000000..39661a8de4a8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/lib/index.js
@@ -0,0 +1,48 @@
+/**
+* @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 standard deviation of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.
+*
+* @module @stdlib/stats/base/ndarray/snanstdev
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var snanstdev = require( '@stdlib/stats/base/ndarray/snanstdev' );
+*
+* var xbuf = new Float32Array( [ 1.0, 3.0, NaN, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* // Degrees of freedom adjustment:
+* var c = new ndarray( 'generic', [ 1 ], [], [ 0 ], 0, 'row-major' );
+*
+* var v = snanstdev( [ x, c ] );
+* // returns ~1.0
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/lib/main.js
new file mode 100644
index 000000000000..bf87029c50c9
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanstdev/lib/main.js
@@ -0,0 +1,62 @@
+/**
+* @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 ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var strided = require( '@stdlib/stats/base/snanstdevpn' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the standard deviation of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.
+*
+* @param {ArrayLikeObject