diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/README.md
new file mode 100644
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--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/README.md
@@ -0,0 +1,171 @@
+
+
+# dmeanstdev
+
+> Compute the [arithmetic mean][arithmetic-mean] and [standard deviation][standard-deviation] of a one-dimensional double-precision floating-point ndarray.
+
+
+
+The [arithmetic mean][arithmetic-mean] and [standard deviation][standard-deviation] are defined as
+
+
+
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+
+
+
+
+and
+
+
+
+```math
+\sigma = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \mu)^2}
+```
+
+
+
+
+
+where the use of the term `n-1` is commonly referred to as Bessel's correction.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var dmeanstdev = require( '@stdlib/stats/base/ndarray/dmeanstdev' );
+```
+
+#### dmeanstdev( arrays )
+
+Computes the [arithmetic mean][arithmetic-mean] and [standard deviation][standard-deviation] of a one-dimensional double-precision floating-point ndarray.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+
+var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+var x = new ndarray( opts.dtype, xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+var out = new ndarray( opts.dtype, new Float64Array( 2 ), [ 2 ], [ 1 ], 0, 'row-major' );
+
+var correction = scalar2ndarray( 1.0, opts );
+
+var v = dmeanstdev( [ x, out, correction ] );
+// returns
+```
+
+The function has the following parameters:
+
+- **arrays**: array-like object containing the following ndarrays in order:
+
+ 1. a one-dimensional input ndarray.
+ 2. a one-dimensional output ndarray (of length 2) to store the [mean][arithmetic-mean] and [standard deviation][standard-deviation].
+ 3. a zero-dimensional ndarray specifying the degrees of freedom adjustment.
+
+The output ndarray contains two elements: the [arithmetic mean][arithmetic-mean] at index 0 and the [standard deviation][standard-deviation] at index 1. The [standard deviation][standard-deviation] is computed using the provided degrees of freedom adjustment. Setting the correction parameter to `1` corresponds to Bessel's correction (i.e., the corrected sample standard deviation). Setting it to `0` computes the population standard deviation.
+
+
+
+
+
+
+
+## Notes
+
+- If provided an empty one-dimensional ndarray, the computed [arithmetic mean][arithmetic-mean] and [standard deviation][standard-deviation] are equal to `NaN`.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var Float64Array = require( '@stdlib/array/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dmeanstdev = require( '@stdlib/stats/base/ndarray/dmeanstdev' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+
+var xbuf = discreteUniform( 10, -50, 50, {
+ 'dtype': 'float64'
+});
+var x = new ndarray( opts.dtype, xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+var out = new ndarray( opts.dtype, new Float64Array( 2 ), [ 2 ], [ 1 ], 0, 'row-major' );
+var correction = scalar2ndarray( 1.0, opts );
+
+console.log( ndarray2array( x ) );
+
+var v = dmeanstdev( [ x, out, correction ] );
+console.log( v );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[arithmetic-mean]: https://en.wikipedia.org/wiki/Arithmetic_mean
+
+[standard-deviation]: https://en.wikipedia.org/wiki/Standard_deviation
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/benchmark/benchmark.js
new file mode 100644
index 000000000000..76098ffaa7d4
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/benchmark/benchmark.js
@@ -0,0 +1,107 @@
+/**
+* @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 uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var Float64Array = require( '@stdlib/array/float64' );
+var pkg = require( './../package.json' ).name;
+var dmeanstdev = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var correction;
+ var xbuf;
+ var out;
+ var x;
+
+ xbuf = uniform( len, -10.0, 10.0, options );
+ x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
+ out = new ndarray( 'float64', new Float64Array( 2 ), [ 2 ], [ 1 ], 0, 'row-major' );
+ correction = scalar2ndarray( 1.0, options );
+
+ return benchmark;
+
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = dmeanstdev( [ x, out, correction ] );
+ 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/base/ndarray/dmeanstdev/docs/img/equation_arithmetic_mean.svg b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/docs/img/equation_arithmetic_mean.svg
new file mode 100644
index 000000000000..c31439606fb6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/docs/img/equation_arithmetic_mean.svg
@@ -0,0 +1,42 @@
+
\ No newline at end of file
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/docs/repl.txt
new file mode 100644
index 000000000000..9946433f04bc
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/docs/repl.txt
@@ -0,0 +1,43 @@
+
+{{alias}}( arrays )
+ Computes the mean and standard deviation of a one-dimensional double-
+ precision floating-point ndarray.
+
+ If provided an empty ndarray, the function returns `NaN` values.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ Array-like object containing the following ndarrays in order:
+
+ - a one-dimensional input ndarray.
+ - a one-dimensional output ndarray (of length 2) to store the mean
+ and standard deviation.
+ - a zero-dimensional ndarray specifying the degrees of freedom
+ adjustment.
+
+ Returns
+ -------
+ out: ndarray
+ An ndarray containing the mean and standard deviation.
+
+ Examples
+ --------
+ > var xbuf = new {{alias:@stdlib/array/float64}}( [ 2.0, 1.0, 2.0, -2.0 ] );
+ > var dt = 'float64';
+ > var sh = [ xbuf.length ];
+ > var sx = [ 1 ];
+ > var ox = 0;
+ > var ord = 'row-major';
+ > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord );
+ > var o = new {{alias:@stdlib/array/float64}}( 2 );
+ > var out = new {{alias:@stdlib/ndarray/ctor}}( dt, o, [ 2 ], [ 1 ], ox, ord );
+ > var opts = { 'dtype': dt };
+ > var correction = {{alias:@stdlib/ndarray/from-scalar}}( 1.0, opts );
+ > {{alias}}( [ x, out, correction ] );
+ > {{alias:@stdlib/ndarray/to-array}}( out )
+ [ ~0.75, ~1.8930 ]
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/docs/types/index.d.ts
new file mode 100644
index 000000000000..97eb527c4575
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/docs/types/index.d.ts
@@ -0,0 +1,36 @@
+/*
+* @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
+
+///
+
+import { float64ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the mean and standard deviation of a one-dimensional double-precision floating-point ndarray.
+*
+* @param arrays - array-like object containing input and output ndarrays
+* @returns output ndarray containing [ mean, stdev ]
+*/
+declare function dmeanstdev( arrays: [ float64ndarray, float64ndarray ] ): float64ndarray;
+
+
+// EXPORTS //
+
+export = dmeanstdev;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/docs/types/test.ts
new file mode 100644
index 000000000000..4da71429a28d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/docs/types/test.ts
@@ -0,0 +1,71 @@
+/*
+* @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.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' ); // eslint-disable-line import/no-unresolved
+import scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); // eslint-disable-line import/no-unresolved
+import dmeanstdev = require( './index' ); // eslint-disable-line import/no-unresolved
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'float64'
+ });
+ const out = zeros( [ 2 ], {
+ 'dtype': 'float64'
+ });
+ const correction = scalar2ndarray( 1.0, {
+ 'dtype': 'float64'
+ });
+
+ dmeanstdev( [ x, out, correction ] ); // $ExpectType ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+ dmeanstdev( '10' ); // $ExpectError
+ dmeanstdev( 10 ); // $ExpectError
+ dmeanstdev( true ); // $ExpectError
+ dmeanstdev( false ); // $ExpectError
+ dmeanstdev( null ); // $ExpectError
+ dmeanstdev( undefined ); // $ExpectError
+ dmeanstdev( [] ); // $ExpectError
+ dmeanstdev( {} ); // $ExpectError
+ dmeanstdev( ( 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': 'float64'
+ });
+ const out = zeros( [ 2 ], {
+ 'dtype': 'float64'
+ });
+ const correction = scalar2ndarray( 1.0, {
+ 'dtype': 'float64'
+ });
+
+ dmeanstdev(); // $ExpectError
+ dmeanstdev( [ x, out ], {} ); // $ExpectError
+ dmeanstdev( [ x, out ] ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/examples/index.js
new file mode 100644
index 000000000000..9ee89317bca8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/examples/index.js
@@ -0,0 +1,42 @@
+/**
+* @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 discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var Float64Array = require( '@stdlib/array/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dmeanstdev = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+
+var xbuf = discreteUniform( 10, -50, 50, {
+ 'dtype': 'float64'
+});
+var x = new ndarray( opts.dtype, xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+var out = new ndarray( opts.dtype, new Float64Array( 2 ), [ 2 ], [ 1 ], 0, 'row-major' );
+var correction = scalar2ndarray( 1.0, opts );
+
+console.log( ndarray2array( x ) );
+
+var v = dmeanstdev( [ x, out, correction ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/lib/index.js
new file mode 100644
index 000000000000..43172d82c2a7
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/lib/index.js
@@ -0,0 +1,52 @@
+/**
+* @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 the mean and standard deviation of a one-dimensional double-precision floating-point ndarray.
+*
+* @module @stdlib/stats/base/ndarray/dmeanstdev
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var dmeanstdev = require( '@stdlib/stats/base/ndarray/dmeanstdev' );
+*
+* var opts = {
+* 'dtype': 'float64'
+* };
+*
+* var xbuf = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
+* var x = new ndarray( opts.dtype, xbuf, [ 4 ], [ 2 ], 1, 'row-major' );
+* var out = new ndarray( opts.dtype, new Float64Array( 2 ), [ 2 ], [ 1 ], 0, 'row-major' );
+* var correction = scalar2ndarray( 1.0, opts );
+*
+* var v = dmeanstdev( [ x, out, correction ] );
+* // returns
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/lib/main.js
new file mode 100644
index 000000000000..3d62e1639da0
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dmeanstdev/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 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 ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var strided = require( '@stdlib/stats/strided/dmeanstdev' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the mean and standard deviation of a one-dimensional double-precision floating-point ndarray.
+*
+* @param {ArrayLikeObject