feat: add C implementation for stats/base/ndarray/dnanmean

lib/node_modules/@stdlib/stats/base/ndarray/dnanmean/README.md

@@ -2,7 +2,7 @@
 
 @license Apache-2.0
 
-Copyright (c) 2025 The Stdlib Authors.
+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.
@@ -117,10 +117,138 @@ console.log( v );
 
 <!-- /.examples -->
 
+* * *
+
+<section class="c">
+
+## C APIs
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+#include "stdlib/stats/base/ndarray/dnanmean.h"
+```
+
+#### stdlib_stats_dnanmean( arrays )
+
+Computes the arithmetic mean of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values.
+
+```c
+#include "stdlib/ndarray/ctor.h"
+#include "stdlib/ndarray/orders.h"
+#include <stdint.h>
+#include <stdlib.h>
+
+// Define an array of pointers to ndarrays:
+struct ndarray *arrays[ 1 ];
+
+// Create an ndarray:
+double x[] = { 1.0, -2.0, 0.0/0.0, 4.0, 5.0, 0.0/0.0, 7.0 };
+int64_t nd = 1;
+int64_t shape[] = { 7 };
+int64_t strides[] = { 1 };
+int64_t offset = 0;
+
+struct ndarray *arr = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, x, nd, shape, strides, offset, STDLIB_NDARRAY_ROW_MAJOR );
+arrays[ 0 ] = arr;
+
+// Compute the arithmetic mean:
+double out = stdlib_stats_dnanmean( (const struct ndarray *const *)arrays );
+
+// Free allocated memory:
+stdlib_ndarray_free( arr );
+```
+
+The function accepts the following arguments:
+
+-   **arrays**: `[in] struct ndarray**` array of pointers to `ndarray` objects.
+
+```c
+double stdlib_stats_dnanmean( const struct ndarray *arrays[] );
+```
+
+</section>
+
+<!-- /.usage -->
+
+<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- C API usage examples. -->
+
+<section class="examples">
+
+### Examples
+
+```c
+#include "stdlib/stats/base/ndarray/dnanmean.h"
+#include "stdlib/ndarray/ctor.h"
+#include "stdlib/ndarray/orders.h"
+#include <stdint.h>
+#include <stdlib.h>
+#include <stdio.h>
+#include <inttypes.h>
+
+int main( void ) {
+    // Define an array of pointers to ndarrays:
+    struct ndarray *arrays[ 1 ];
+
+    // Create an ndarray:
+    double x[] = { 1.0, -2.0, 0.0/0.0, 4.0, 5.0, 0.0/0.0, 7.0 };
+    int64_t nd = 1;
+    int64_t shape[] = { 7 };
+    int64_t strides[] = { 1 };
+    int64_t offset = 0;
+
+    struct ndarray *arr = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, x, nd, shape, strides, offset, STDLIB_NDARRAY_ROW_MAJOR );
+    if ( arr == NULL ) {
+        fprintf( stderr, "Error allocating memory.\n" );
+        exit( 1 );
+    }
+    arrays[ 0 ] = arr;
+
+    // Compute the arithmetic mean:
+    double out = stdlib_stats_dnanmean( (const struct ndarray *const *)arrays );
+
+    printf( "mean: %lf\n", out );
+
+    // Free allocated memory:
+    stdlib_ndarray_free( arr );
+
+    return 0;
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
 <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
 
 <section class="related">
 
+
 </section>
 
 <!-- /.related -->

lib/node_modules/@stdlib/stats/base/ndarray/dnanmean/benchmark/benchmark.js

@@ -29,7 +29,7 @@ var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
-var dnanmean = require( './../lib' );
+var dnanmean = require( './../lib/main.js' );
 
 
 // VARIABLES //

lib/node_modules/@stdlib/stats/base/ndarray/dnanmean/benchmark/benchmark.native.js

@@ -0,0 +1,108 @@
+/**
+* @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 resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var dnanmean = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( dnanmean instanceof Error )
+};
+var options = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var x = uniform( [ len ], -10.0, 10.0, options );
+	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 = dnanmean( [ x ] );
+			if ( isnan( v ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( 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::native:len=%d', pkg, len ), opts, f );
+	}
+}
+
+main();