diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/README.md
new file mode 100644
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--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/README.md
@@ -0,0 +1,127 @@
+
+
+# smskmin
+
+> Calculate the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask.
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var smskmin = require( '@stdlib/stats/base/ndarray/smskmin' );
+```
+
+#### smskmin( arrays )
+
+Computes the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+var Uint8Array = require( '@stdlib/array/uint8' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = new Float32Array( [ 1.0, -2.0, 4.0, 2.0 ] );
+var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var maskbuf = new Uint8Array( [ 0, 0, 1, 0 ] );
+var mask = new ndarray( 'uint8', maskbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var v = smskmin( [ x, mask ] );
+// returns -2.0
+```
+
+The function has the following parameters:
+
+- **arrays**: array-like object containing an input ndarray and a mask ndarray.
+
+If a `mask` array element is `0`, the corresponding element in the input ndarray is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in the input ndarray is considered invalid/missing and **excluded** from computation.
+
+
+
+
+
+
+
+## Notes
+
+- If provided an empty ndarray or a mask with all elements set to `1`, the function returns `NaN`.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+var Uint8Array = require( '@stdlib/array/uint8' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var bernoulli = require( '@stdlib/random/array/bernoulli' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var smskmin = require( '@stdlib/stats/base/ndarray/smskmin' );
+
+var xbuf = uniform( 10, -50.0, 50.0, {
+ 'dtype': 'float32'
+});
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var maskbuf = bernoulli( xbuf.length, 0.2, {
+ 'dtype': 'uint8'
+});
+var mask = new ndarray( 'uint8', maskbuf, [ maskbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( mask ) );
+
+var v = smskmin( [ x, mask ] );
+console.log( v );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/benchmark/benchmark.js
new file mode 100644
index 000000000000..8a6f86d8561f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/benchmark/benchmark.js
@@ -0,0 +1,112 @@
+/**
+* @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 bernoulli = require( '@stdlib/random/array/bernoulli' );
+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 pkg = require( './../package.json' ).name;
+var smskmin = require( './../lib' );
+
+
+// VARIABLES //
+
+var xoptions = {
+ 'dtype': 'float32'
+};
+var moptions = {
+ 'dtype': 'uint8'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var mask;
+ var mbuf;
+ var xbuf;
+ var x;
+
+ xbuf = uniform( len, -100.0, 100.0, xoptions );
+ x = new ndarray( xoptions.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+ mbuf = bernoulli( len, 0.2, moptions );
+ mask = new ndarray( moptions.dtype, mbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+ return benchmark;
+
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ xbuf[ i%len ] = i;
+ v = smskmin( [ x, mask ] );
+ 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( pkg+':len='+len, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/repl.txt
new file mode 100644
index 000000000000..c73148d904fa
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/repl.txt
@@ -0,0 +1,35 @@
+
+{{alias}}( arrays )
+ Computes the minimum value of a one-dimensional single-precision floating-
+ point ndarray according to a mask.
+
+ If provided an empty ndarray or a mask with all elements set to `1`, the
+ function returns `NaN`.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ Array-like object containing an input ndarray and a mask ndarray.
+
+ Returns
+ -------
+ out: number
+ Minimum value.
+
+ Examples
+ --------
+ > var xbuf = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 4.0, 2.0 ] );
+ > var dt = 'float32';
+ > 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 mbuf = new {{alias:@stdlib/array/uint8}}( [ 0, 0, 1, 0 ] );
+ > var mdt = 'uint8';
+ > var mask = new {{alias:@stdlib/ndarray/ctor}}( mdt, mbuf, sh, sx, ox, ord );
+ > {{alias}}( [ x, mask ] )
+ -2.0
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/types/index.d.ts
new file mode 100644
index 000000000000..cd50efe47589
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/types/index.d.ts
@@ -0,0 +1,50 @@
+/*
+* @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 { ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask.
+*
+* @param arrays - array-like object containing an input ndarray and a mask ndarray
+* @returns minimum value
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float32Array( [ 1.0, -2.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var maskbuf = new Uint8Array( [ 0, 0, 1, 0 ] );
+* var mask = new ndarray( 'uint8', maskbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = smskmin( [ x, mask ] );
+* // returns -2.0
+*/
+declare function smskmin( arrays: [ T, T ] ): number;
+
+
+// EXPORTS //
+
+export = smskmin;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/types/test.ts
new file mode 100644
index 000000000000..364f31a67422
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/types/test.ts
@@ -0,0 +1,63 @@
+/*
+* @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' );
+import smskmin = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'float32'
+ });
+ const mask = zeros( [ 10 ], {
+ 'dtype': 'uint8'
+ });
+
+ smskmin( [ x, mask ] ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+ smskmin( '10' ); // $ExpectError
+ smskmin( 10 ); // $ExpectError
+ smskmin( true ); // $ExpectError
+ smskmin( false ); // $ExpectError
+ smskmin( null ); // $ExpectError
+ smskmin( undefined ); // $ExpectError
+ smskmin( [] ); // $ExpectError
+ smskmin( {} ); // $ExpectError
+ smskmin( ( 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 mask = zeros( [ 10 ], {
+ 'dtype': 'uint8'
+ });
+
+ smskmin(); // $ExpectError
+ smskmin( [ x, mask ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/examples/index.js
new file mode 100644
index 000000000000..25b500f6bf07
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/examples/index.js
@@ -0,0 +1,40 @@
+/**
+* @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 uniform = require( '@stdlib/random/array/uniform' );
+var bernoulli = require( '@stdlib/random/array/bernoulli' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var smskmin = require( './../lib' );
+
+var xbuf = uniform( 10, -50.0, 50.0, {
+ 'dtype': 'float32'
+});
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var maskbuf = bernoulli( xbuf.length, 0.2, {
+ 'dtype': 'uint8'
+});
+var mask = new ndarray( 'uint8', maskbuf, [ maskbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( mask ) );
+
+var v = smskmin( [ x, mask ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/index.js
new file mode 100644
index 000000000000..0879fc5f737e
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/index.js
@@ -0,0 +1,49 @@
+/**
+* @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';
+
+/**
+* Calculate the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask.
+*
+* @module @stdlib/stats/base/ndarray/smskmin
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var smskmin = require( '@stdlib/stats/base/ndarray/smskmin' );
+*
+* var xbuf = new Float32Array( [ 1.0, -2.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var maskbuf = new Uint8Array( [ 0, 0, 1, 0 ] );
+* var mask = new ndarray( 'uint8', maskbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = smskmin( [ x, mask ] );
+* // returns -2.0
+*/
+
+// MODULES //
+
+var smskmin = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = smskmin;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/main.js
new file mode 100644
index 000000000000..3cc90f3b10c8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/main.js
@@ -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.
+*/
+
+'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 strided = require( '@stdlib/stats/strided/smskmin' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask.
+*
+* @param {ArrayLikeObject