From 00b23b3cb5b4e72bf977a9ac170062f8e8614ef1 Mon Sep 17 00:00:00 2001
From: JoyBoy <144602492+0PrashantYadav0@users.noreply.github.com>
Date: Mon, 24 Feb 2025 03:37:14 +0530
Subject: [PATCH] feat: add C ndarray interface and refactor implementation for
 `stats/base/dnanvariancech`

PR-URL: https://github.com/stdlib-js/stdlib/pull/4803

Reviewed-by: Philipp Burckhardt <pburckhardt@outlook.com>
Reviewed-by: Aayush Khanna <aayushiitbhu23@gmail.com>
---
 .../stats/base/dnanvariancech/README.md       | 172 +++++++++++++++---
 .../dnanvariancech/benchmark/benchmark.js     |  30 +--
 .../benchmark/benchmark.native.js             |  30 +--
 .../benchmark/benchmark.ndarray.js            |  30 +--
 .../benchmark/benchmark.ndarray.native.js     |  30 +--
 .../benchmark/c/benchmark.length.c            |  60 +++++-
 .../stats/base/dnanvariancech/docs/repl.txt   |  40 ++--
 .../base/dnanvariancech/docs/types/index.d.ts |  12 +-
 .../base/dnanvariancech/examples/c/example.c  |   9 +-
 .../base/dnanvariancech/examples/index.js     |  22 +--
 .../stdlib/stats/base/dnanvariancech.h        |   9 +-
 .../base/dnanvariancech/lib/dnanvariancech.js |  70 +------
 .../lib/dnanvariancech.native.js              |   9 +-
 .../stats/base/dnanvariancech/lib/index.js    |   7 +-
 .../stats/base/dnanvariancech/lib/ndarray.js  |  22 +--
 .../base/dnanvariancech/lib/ndarray.native.js |  20 +-
 .../stats/base/dnanvariancech/manifest.json   |  52 ++++--
 .../stats/base/dnanvariancech/src/addon.c     |  31 +++-
 .../src/{dnanvariancech.c => main.c}          |  42 +++--
 .../test/test.dnanvariancech.js               |  13 +-
 .../test/test.dnanvariancech.native.js        |  13 +-
 .../base/dnanvariancech/test/test.ndarray.js  |  13 +-
 .../test/test.ndarray.native.js               |  13 +-
 23 files changed, 444 insertions(+), 305 deletions(-)
 rename lib/node_modules/@stdlib/stats/base/dnanvariancech/src/{dnanvariancech.c => main.c} (72%)

diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/README.md b/lib/node_modules/@stdlib/stats/base/dnanvariancech/README.md
index 0deb506a3836..9ed8ceea7548 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/README.md
@@ -98,7 +98,7 @@ The use of the term `n-1` is commonly referred to as Bessel's correction. Note,
 var dnanvariancech = require( '@stdlib/stats/base/dnanvariancech' );
 ```
 
-#### dnanvariancech( N, correction, x, stride )
+#### dnanvariancech( N, correction, x, strideX )
 
 Computes the [variance][variance] of a double-precision floating-point strided array `x` ignoring `NaN` values and using a one-pass trial mean algorithm.
 
@@ -116,18 +116,16 @@ The function has the following parameters:
 -   **N**: number of indexed elements.
 -   **correction**: degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [variance][variance] according to `n-c` where `c` corresponds to the provided degrees of freedom adjustment and `n` corresponds to the number of non-`NaN` indexed elements. When computing the [variance][variance] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the unbiased sample [variance][variance], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction).
 -   **x**: input [`Float64Array`][@stdlib/array/float64].
--   **stride**: index increment for `x`.
+-   **strideX**: stride length for `x`.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [variance][variance] of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [variance][variance] of every other element in `x`,
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
-var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN ] );
-var N = floor( x.length / 2 );
+var x = new Float64Array([1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN, NaN]);
 
-var v = dnanvariancech( N, 1, x, 2 );
+var v = dnanvariancech( 5, 1, x, 2 );
 // returns 6.25
 ```
 
@@ -137,25 +135,22 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
-var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
+var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] ); // eslint-disable-line max-len
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = dnanvariancech( N, 1, x1, 2 );
+var v = dnanvariancech( 5, 1, x1, 2 );
 // returns 6.25
 ```
 
-#### dnanvariancech.ndarray( N, correction, x, stride, offset )
+#### dnanvariancech.ndarray( N, correction, x, strideX, offsetX )
 
 Computes the [variance][variance] of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm and alternative indexing semantics.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
 
-var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
+var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
 
 var v = dnanvariancech.ndarray( x.length, 1, x, 1, 0 );
 // returns ~4.33333
@@ -163,18 +158,16 @@ var v = dnanvariancech.ndarray( x.length, 1, x, 1, 0 );
 
 The function has the following additional parameters:
 
--   **offset**: starting index for `x`.
+-   **offsetX**: starting index for `x`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the [variance][variance] for every other value in `x` starting from the second value
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the [variance][variance] for every other element in `x` starting from the second element
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
-var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-var N = floor( x.length / 2 );
+var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] ); // eslint-disable-line max-len
 
-var v = dnanvariancech.ndarray( N, 1, x, 2, 1 );
+var v = dnanvariancech.ndarray( 5, 1, x, 2, 1 );
 // returns 6.25
 ```
 
@@ -201,19 +194,19 @@ var v = dnanvariancech.ndarray( N, 1, x, 2, 1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
 var dnanvariancech = require( '@stdlib/stats/base/dnanvariancech' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    x[ i ] = round( (randu()*100.0) - 50.0 );
+function rand() {
+    if ( bernoulli( 0.8 ) < 1 ) {
+        return NaN;
+    }
+    return uniform( -50.0, 50.0 );
 }
-console.log( x );
+
+var x = filledarrayBy( 10, 'float64', rand );
 
 var v = dnanvariancech( x.length, 1, x, 1 );
 console.log( v );
@@ -223,6 +216,125 @@ console.log( v );
 
 <!-- /.examples -->
 
+<!-- C interface documentation. -->
+
+* * *
+
+<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/dnanvariancech.h"
+```
+
+#### stdlib_strided_dnanvariancech( N, correction, \*X, strideX )
+
+Computes the [variance][variance] of a double-precision floating-point strided array `x` ignoring `NaN` values and using a one-pass trial mean algorithm.
+
+```c
+const double x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
+
+double v = stdlib_strided_dnanvariancech( 4, 1.0, x, 1 );
+// returns ~4.3333
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **correction**: `[in] double` degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [variance][variance] according to `n-c` where `c` corresponds to the provided degrees of freedom adjustment and `n` corresponds to the number of non-`NaN` indexed elements. When computing the [variance][variance] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the unbiased sample [variance][variance], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction).
+-   **X**: `[in] double*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+
+```c
+double stdlib_strided_dnanvariancech( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_dnanvariancech_ndarray( N, correction, \*X, strideX, offsetX )
+
+Computes the [variance][variance] of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm and alternative indexing semantics.
+
+```c
+const double x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
+
+double v = stdlib_strided_dnanvariancech_ndarray( 4, 1.0, x, 1, 0 );
+// returns ~4.3333
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **correction**: `[in] double` degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [variance][variance] according to `n-c` where `c` corresponds to the provided degrees of freedom adjustment and `n` corresponds to the number of non-`NaN` indexed elements. When computing the [variance][variance] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the unbiased sample [variance][variance], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction).
+-   **X**: `[in] double*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+-   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+
+```c
+double stdlib_strided_dnanvariancech_ndarray( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+</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/dnanvariancech.h"
+#include <stdio.h>
+
+int main( void ) {
+    // Create a strided array:
+    const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
+
+    // Specify the number of elements:
+    const int N = 6;
+
+    // Specify the stride length:
+    const int strideX = 2;
+
+    // Compute the variance:
+    double v = stdlib_strided_dnanvariancech( N, 1, x, strideX );
+
+    // Print the result:
+    printf( "sample variance: %lf\n", v );
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
 * * *
 
 <section class="references">
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.js
index a4a676c45654..aff0033dfc11 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.js
@@ -21,16 +21,30 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var pkg = require( './../package.json' ).name;
 var dnanvariancech = require( './../lib/dnanvariancech.js' );
 
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -39,17 +53,7 @@ var dnanvariancech = require( './../lib/dnanvariancech.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.native.js
index e714be4d718a..d664bb556223 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.native.js
@@ -22,10 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -40,6 +41,19 @@ var opts = {
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -48,17 +62,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.ndarray.js
index 93d02f9bd862..5a0905ec8619 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.ndarray.js
@@ -21,16 +21,30 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var pkg = require( './../package.json' ).name;
 var dnanvariancech = require( './../lib/ndarray.js' );
 
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -39,17 +53,7 @@ var dnanvariancech = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.ndarray.native.js
index 12b1acb531ad..a46193a0ec72 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/benchmark.ndarray.native.js
@@ -22,10 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -40,6 +41,19 @@ var opts = {
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -48,17 +62,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/c/benchmark.length.c
index c64f38c9f76c..ce99c3966550 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/benchmark/c/benchmark.length.c
@@ -94,7 +94,7 @@ static double rand_double( void ) {
 * @param len          array length
 * @return             elapsed time in seconds
 */
-static double benchmark( int iterations, int len ) {
+static double benchmark1( int iterations, int len ) {
 	double elapsed;
 	double x[ len ];
 	double v;
@@ -102,11 +102,16 @@ static double benchmark( int iterations, int len ) {
 	int i;
 
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( rand_double() * 20000.0 ) - 10000.0;
+		if ( rand_double() < 0.2 ) {
+			x[ i ] = 0.0 / 0.0; // NaN
+		} else {
+			x[ i ] = ( rand_double() * 20000.0 ) - 10000.0;
+		}
 	}
 	v = 0.0;
 	t = tic();
 	for ( i = 0; i < iterations; i++ ) {
+		// cppcheck-suppress uninitvar
 		v = stdlib_strided_dnanvariancech( len, 1.0, x, 1 );
 		if ( v != v ) {
 			printf( "should not return NaN\n" );
@@ -120,6 +125,44 @@ static double benchmark( int iterations, int len ) {
 	return elapsed;
 }
 
+/**
+* Runs a benchmark.
+*
+* @param iterations   number of iterations
+* @param len          array length
+* @return             elapsed time in seconds
+*/
+static double benchmark2( int iterations, int len ) {
+	double elapsed;
+	double x[ len ];
+	double v;
+	double t;
+	int i;
+
+	for ( i = 0; i < len; i++ ) {
+		if ( rand_double() < 0.2 ) {
+			x[ i ] = 0.0 / 0.0; // NaN
+		} else {
+			x[ i ] = ( rand_double() * 20000.0 ) - 10000.0;
+		}
+	}
+	v = 0.0;
+	t = tic();
+	for ( i = 0; i < iterations; i++ ) {
+		// cppcheck-suppress uninitvar
+		v = stdlib_strided_dnanvariancech_ndarray( len, 1.0, x, 1, 0 );
+		if ( v != v ) {
+			printf( "should not return NaN\n" );
+			break;
+		}
+	}
+	elapsed = tic() - t;
+	if ( v != v ) {
+		printf( "should not return NaN\n" );
+	}
+	return elapsed;
+}
+
 /**
 * Main execution sequence.
 */
@@ -142,7 +185,18 @@ int main( void ) {
 		for ( j = 0; j < REPEATS; j++ ) {
 			count += 1;
 			printf( "# c::%s:len=%d\n", NAME, len );
-			elapsed = benchmark( iter, len );
+			elapsed = benchmark1( iter, len );
+			print_results( iter, elapsed );
+			printf( "ok %d benchmark finished\n", count );
+		}
+	}
+	for ( i = MIN; i <= MAX; i++ ) {
+		len = pow( 10, i );
+		iter = ITERATIONS / pow( 10, i-1 );
+		for ( j = 0; j < REPEATS; j++ ) {
+			count += 1;
+			printf( "# c::%s:ndarray:len=%d\n", NAME, len );
+			elapsed = benchmark2( iter, len );
 			print_results( iter, elapsed );
 			printf( "ok %d benchmark finished\n", count );
 		}
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dnanvariancech/docs/repl.txt
index a726e307bd95..12c235a234ed 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/docs/repl.txt
@@ -1,10 +1,10 @@
 
-{{alias}}( N, correction, x, stride )
+{{alias}}( N, correction, x, strideX )
     Computes the variance of a double-precision floating-point strided array
     ignoring `NaN` values and using a one-pass trial mean algorithm.
 
-    The `N` and `stride` parameters determine which elements in `x` are accessed
-    at runtime.
+    The `N` and stride parameters determine which elements in the strided array
+    are accessed at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
     array view.
@@ -34,8 +34,8 @@
     x: Float64Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
     Returns
     -------
@@ -45,26 +45,23 @@
     Examples
     --------
     // Standard Usage:
-    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, NaN, 2.0 ] );
+    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, NaN, -2.0, 2.0 ] );
     > {{alias}}( x.length, 1, x, 1 )
     ~4.3333
 
-    // Using `N` and `stride` parameters:
-    > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, 1, x, stride )
+    // Using `N` and stride parameters:
+    > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );
+    > {{alias}}( 4, 1, x, 2 )
     ~4.3333
 
     // Using view offsets:
-    > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
+    > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > stride = 2;
-    > {{alias}}( N, 1, x1, stride )
+    > {{alias}}( 4, 1, x1, 2 )
     ~4.3333
 
-{{alias}}.ndarray( N, correction, x, stride, offset )
+
+{{alias}}.ndarray( N, correction, x, strideX, offsetX )
     Computes the variance of a double-precision floating-point strided array
     ignoring `NaN` values and using a one-pass trial mean algorithm and
     alternative indexing semantics.
@@ -94,10 +91,10 @@
     x: Float64Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns
@@ -113,9 +110,8 @@
     ~4.3333
 
     // Using offset parameter:
-    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, 1, x, 2, 1 )
+    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );
+    > {{alias}}.ndarray( 4, 1, x, 2, 1 )
     ~4.3333
 
     See Also
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dnanvariancech/docs/types/index.d.ts
index 3b0c78e55e9e..3cc8eac385fd 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/docs/types/index.d.ts
@@ -28,7 +28,7 @@ interface Routine {
 	* @param N - number of indexed elements
 	* @param correction - degrees of freedom adjustment
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns variance
 	*
 	* @example
@@ -39,7 +39,7 @@ interface Routine {
 	* var v = dnanvariancech( x.length, 1, x, 1 );
 	* // returns ~4.3333
 	*/
-	( N: number, correction: number, x: Float64Array, stride: number ): number;
+	( N: number, correction: number, x: Float64Array, strideX: number ): number;
 
 	/**
 	* Computes the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm and alternative indexing semantics.
@@ -47,8 +47,8 @@ interface Routine {
 	* @param N - number of indexed elements
 	* @param correction - degrees of freedom adjustment
 	* @param x - input array
-	* @param stride - stride length
-	* @param offset - starting index
+	* @param strideX - stride length
+	* @param offsetX - starting index
 	* @returns variance
 	*
 	* @example
@@ -59,7 +59,7 @@ interface Routine {
 	* var v = dnanvariancech.ndarray( x.length, 1, x, 1, 0 );
 	* // returns ~4.3333
 	*/
-	ndarray( N: number, correction: number, x: Float64Array, stride: number, offset: number ): number;
+	ndarray( N: number, correction: number, x: Float64Array, strideX: number, offsetX: number ): number;
 }
 
 /**
@@ -68,7 +68,7 @@ interface Routine {
 * @param N - number of indexed elements
 * @param correction - degrees of freedom adjustment
 * @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
 * @returns variance
 *
 * @example
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dnanvariancech/examples/c/example.c
index 09ce553fde96..fe3a788a096a 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/examples/c/example.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/examples/c/example.c
@@ -17,21 +17,20 @@
 */
 
 #include "stdlib/stats/base/dnanvariancech.h"
-#include <stdint.h>
 #include <stdio.h>
 
 int main( void ) {
 	// Create a strided array:
-	double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
+	const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
 
 	// Specify the number of elements:
-	int64_t N = 6;
+	const int N = 6;
 
 	// Specify the stride length:
-	int64_t stride = 2;
+	const int strideX = 2;
 
 	// Compute the variance:
-	double v = stdlib_strided_dnanvariancech( N, 1, x, stride );
+	double v = stdlib_strided_dnanvariancech( N, 1.0, x, strideX );
 
 	// Print the result:
 	printf( "sample variance: %lf\n", v );
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/examples/index.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/examples/index.js
index 94f52c003c30..637e98094588 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/examples/index.js
@@ -18,23 +18,19 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
 var dnanvariancech = require( './../lib' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-	if ( randu() < 0.2 ) {
-		x[ i ] = NaN;
-	} else {
-		x[ i ] = round( (randu()*100.0) - 50.0 );
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
 	}
+	return uniform( -50.0, 50.0 );
 }
-console.log( x );
+
+var x = filledarrayBy( 10, 'float64', rand );
 
 var v = dnanvariancech( x.length, 1, x, 1 );
 console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/include/stdlib/stats/base/dnanvariancech.h b/lib/node_modules/@stdlib/stats/base/dnanvariancech/include/stdlib/stats/base/dnanvariancech.h
index 3025a04c96c8..7a4cd14cb68d 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/include/stdlib/stats/base/dnanvariancech.h
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/include/stdlib/stats/base/dnanvariancech.h
@@ -19,7 +19,7 @@
 #ifndef STDLIB_STATS_BASE_DNANVARIANCECH_H
 #define STDLIB_STATS_BASE_DNANVARIANCECH_H
 
-#include <stdint.h>
+#include "stdlib/blas/base/shared.h"
 
 /*
 * If C++, prevent name mangling so that the compiler emits a binary file having undecorated names, thus mirroring the behavior of a C compiler.
@@ -31,7 +31,12 @@ extern "C" {
 /**
 * Computes the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.
 */
-double stdlib_strided_dnanvariancech( const int64_t N, const double correction, const double *X, const int64_t stride );
+double API_SUFFIX(stdlib_strided_dnanvariancech)( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX );
+
+/**
+* Computes the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm and alternative indexing semantics.
+*/
+double API_SUFFIX(stdlib_strided_dnanvariancech_ndarray)( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 
 #ifdef __cplusplus
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/dnanvariancech.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/dnanvariancech.js
index 77647cd24bc8..327caa3c272d 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/dnanvariancech.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/dnanvariancech.js
@@ -18,6 +18,12 @@
 
 'use strict';
 
+// MODULES //
+
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
+
+
 // MAIN //
 
 /**
@@ -37,7 +43,7 @@
 * @param {PositiveInteger} N - number of indexed elements
 * @param {number} correction - degrees of freedom adjustment
 * @param {Float64Array} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
 * @returns {number} variance
 *
 * @example
@@ -49,66 +55,8 @@
 * var v = dnanvariancech( N, 1, x, 1 );
 * // returns ~4.3333
 */
-function dnanvariancech( N, correction, x, stride ) {
-	var mu;
-	var ix;
-	var M2;
-	var nc;
-	var M;
-	var d;
-	var v;
-	var n;
-	var i;
-
-	if ( N <= 0 ) {
-		return NaN;
-	}
-	if ( N === 1 || stride === 0 ) {
-		v = x[ 0 ];
-		if ( v === v && N-correction > 0.0 ) {
-			return 0.0;
-		}
-		return NaN;
-	}
-	if ( stride < 0 ) {
-		ix = (1-N) * stride;
-	} else {
-		ix = 0;
-	}
-	// Find an estimate for the mean...
-	for ( i = 0; i < N; i++ ) {
-		v = x[ ix ];
-		if ( v === v ) {
-			mu = v;
-			break;
-		}
-		ix += stride;
-	}
-	if ( i === N ) {
-		return NaN;
-	}
-	ix += stride;
-	i += 1;
-
-	// Compute the variance...
-	M2 = 0.0;
-	M = 0.0;
-	n = 1;
-	for ( i; i < N; i++ ) {
-		v = x[ ix ];
-		if ( v === v ) {
-			d = v - mu;
-			M2 += d * d;
-			M += d;
-			n += 1;
-		}
-		ix += stride;
-	}
-	nc = n - correction;
-	if ( nc <= 0.0 ) {
-		return NaN;
-	}
-	return (M2/nc) - ((M/n)*(M/nc));
+function dnanvariancech( N, correction, x, strideX ) {
+	return ndarray( N, correction, x, strideX, stride2offset( N, strideX ) );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/dnanvariancech.native.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/dnanvariancech.native.js
index bd41f722dd4c..dfa43c9506d0 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/dnanvariancech.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/dnanvariancech.native.js
@@ -31,20 +31,19 @@ var addon = require( './../src/addon.node' );
 * @param {PositiveInteger} N - number of indexed elements
 * @param {number} correction - degrees of freedom adjustment
 * @param {Float64Array} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
 * @returns {number} variance
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = x.length;
 *
-* var v = dnanvariancech( N, 1, x, 1 );
+* var v = dnanvariancech( x.length, 1, x, 1 );
 * // returns ~4.3333
 */
-function dnanvariancech( N, correction, x, stride ) {
-	return addon( N, correction, x, stride );
+function dnanvariancech( N, correction, x, strideX ) {
+	return addon( N, correction, x, strideX );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/index.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/index.js
index 946b2cab6c61..5c0352266a8c 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/index.js
@@ -28,20 +28,17 @@
 * var dnanvariancech = require( '@stdlib/stats/base/dnanvariancech' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = x.length;
 *
-* var v = dnanvariancech( N, 1, x, 1 );
+* var v = dnanvariancech( x.length, 1, x, 1 );
 * // returns ~4.3333
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var dnanvariancech = require( '@stdlib/stats/base/dnanvariancech' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanvariancech.ndarray( N, 1, x, 2, 1 );
+* var v = dnanvariancech.ndarray( 5, 1, x, 2, 1 );
 * // returns 6.25
 */
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/ndarray.js
index 48e77d9eb2bd..91f86877a468 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/ndarray.js
@@ -37,21 +37,19 @@
 * @param {PositiveInteger} N - number of indexed elements
 * @param {number} correction - degrees of freedom adjustment
 * @param {Float64Array} x - input array
-* @param {integer} stride - stride length
-* @param {NonNegativeInteger} offset - starting index
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
 * @returns {number} variance
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanvariancech( N, 1, x, 2, 1 );
+* var v = dnanvariancech( 5, 1, x, 2, 1 );
 * // returns 6.25
 */
-function dnanvariancech( N, correction, x, stride, offset ) {
+function dnanvariancech( N, correction, x, strideX, offsetX ) {
 	var mu;
 	var ix;
 	var M2;
@@ -65,14 +63,14 @@ function dnanvariancech( N, correction, x, stride, offset ) {
 	if ( N <= 0 ) {
 		return NaN;
 	}
-	if ( N === 1 || stride === 0 ) {
-		v = x[ offset ];
+	if ( N === 1 || strideX === 0 ) {
+		v = x[ offsetX ];
 		if ( v === v && N-correction > 0.0 ) {
 			return 0.0;
 		}
 		return NaN;
 	}
-	ix = offset;
+	ix = offsetX;
 
 	// Find an estimate for the mean...
 	for ( i = 0; i < N; i++ ) {
@@ -81,12 +79,12 @@ function dnanvariancech( N, correction, x, stride, offset ) {
 			mu = v;
 			break;
 		}
-		ix += stride;
+		ix += strideX;
 	}
 	if ( i === N ) {
 		return NaN;
 	}
-	ix += stride;
+	ix += strideX;
 	i += 1;
 
 	// Compute the variance...
@@ -101,7 +99,7 @@ function dnanvariancech( N, correction, x, stride, offset ) {
 			M += d;
 			n += 1;
 		}
-		ix += stride;
+		ix += strideX;
 	}
 	nc = n - correction;
 	if ( nc <= 0.0 ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/ndarray.native.js
index 019ffb791940..974621d7be14 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/lib/ndarray.native.js
@@ -20,8 +20,7 @@
 
 // MODULES //
 
-var Float64Array = require( '@stdlib/array/float64' );
-var addon = require( './dnanvariancech.native.js' );
+var addon = require( './../src/addon.node' );
 
 
 // MAIN //
@@ -32,27 +31,20 @@ var addon = require( './dnanvariancech.native.js' );
 * @param {PositiveInteger} N - number of indexed elements
 * @param {number} correction - degrees of freedom adjustment
 * @param {Float64Array} x - input array
-* @param {integer} stride - stride length
-* @param {NonNegativeInteger} offset - starting index
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
 * @returns {number} variance
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanvariancech( N, 1, x, 2, 1 );
+* var v = dnanvariancech( 5, 1, x, 2, 1 );
 * // returns 6.25
 */
-function dnanvariancech( N, correction, x, stride, offset ) {
-	var view;
-	if ( stride < 0 ) {
-		offset += (N-1) * stride;
-	}
-	view = new Float64Array( x.buffer, x.byteOffset+(x.BYTES_PER_ELEMENT*offset), x.length-offset ); // eslint-disable-line max-len
-	return addon( N, correction, view, stride );
+function dnanvariancech( N, correction, x, strideX, offsetX ) {
+	return addon.ndarray( N, correction, x, strideX, offsetX );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/manifest.json b/lib/node_modules/@stdlib/stats/base/dnanvariancech/manifest.json
index 8d0cc91dd8c0..86308d31795d 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/manifest.json
@@ -1,5 +1,8 @@
 {
-  "options": {},
+  "options": {
+    "task": "build",
+    "wasm": false
+  },
   "fields": [
     {
       "field": "src",
@@ -25,17 +28,18 @@
   "confs": [
     {
       "task": "build",
+      "wasm": false,
       "src": [
-        "./src/dnanvariancech.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
-      ],
+      "libraries": [],
       "libpath": [],
       "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
         "@stdlib/napi/export",
         "@stdlib/napi/argv",
         "@stdlib/napi/argv-int64",
@@ -46,31 +50,51 @@
     },
     {
       "task": "benchmark",
+      "wasm": false,
       "src": [
-        "./src/dnanvariancech.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
-      ],
+      "libraries": [],
       "libpath": [],
-      "dependencies": []
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset"
+      ]
     },
     {
       "task": "examples",
+      "wasm": false,
       "src": [
-        "./src/dnanvariancech.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset"
+      ]
+    },
+    {
+      "task": "",
+      "wasm": true,
+      "src": [
+        "./src/main.c"
       ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [],
       "libpath": [],
-      "dependencies": []
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset"
+      ]
     }
   ]
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/src/addon.c b/lib/node_modules/@stdlib/stats/base/dnanvariancech/src/addon.c
index 78d3663f9fae..a87d030ae87c 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/src/addon.c
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2024 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.
@@ -17,12 +17,13 @@
 */
 
 #include "stdlib/stats/base/dnanvariancech.h"
+#include "stdlib/blas/base/shared.h"
 #include "stdlib/napi/export.h"
 #include "stdlib/napi/argv.h"
 #include "stdlib/napi/argv_int64.h"
-#include "stdlib/napi/argv_double.h"
 #include "stdlib/napi/argv_strided_float64array.h"
 #include "stdlib/napi/create_double.h"
+#include "stdlib/napi/argv_double.h"
 #include <node_api.h>
 
 /**
@@ -35,11 +36,29 @@
 static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV( env, info, argv, argc, 4 );
 	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
-	STDLIB_NAPI_ARGV_INT64( env, stride, argv, 3 );
 	STDLIB_NAPI_ARGV_DOUBLE( env, correction, argv, 1 );
-	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, stride, argv, 2 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dnanvariancech( N, correction, X, stride ), v );
+	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 3 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 2 )
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dnanvariancech)( N, correction, X, strideX ), v );
+	return v;
+}
+
+/**
+* Receives JavaScript callback invocation data.
+*
+* @param env    environment under which the function is invoked
+* @param info   callback data
+* @return       Node-API value
+*/
+static napi_value addon_method( napi_env env, napi_callback_info info ) {
+	STDLIB_NAPI_ARGV( env, info, argv, argc, 5 );
+	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
+	STDLIB_NAPI_ARGV_DOUBLE( env, correction, argv, 1 );
+	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 3 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 2 );
+	STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 4 );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dnanvariancech_ndarray)( N, correction, X, strideX, offsetX ), v );
 	return v;
 }
 
-STDLIB_NAPI_MODULE_EXPORT_FCN( addon )
+STDLIB_NAPI_MODULE_EXPORT_FCN_WITH_METHOD( addon, "ndarray", addon_method )
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/src/dnanvariancech.c b/lib/node_modules/@stdlib/stats/base/dnanvariancech/src/main.c
similarity index 72%
rename from lib/node_modules/@stdlib/stats/base/dnanvariancech/src/dnanvariancech.c
rename to lib/node_modules/@stdlib/stats/base/dnanvariancech/src/main.c
index 18dfbe6ba632..781f36283748 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/src/dnanvariancech.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/src/main.c
@@ -17,7 +17,8 @@
 */
 
 #include "stdlib/stats/base/dnanvariancech.h"
-#include <stdint.h>
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/strided/base/stride2offset.h"
 
 /**
 * Computes the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.
@@ -36,13 +37,28 @@
 * @param N           number of indexed elements
 * @param correction  degrees of freedom adjustment
 * @param X           input array
-* @param stride      stride length
+* @param strideX     stride length
 * @return            output value
 */
-double stdlib_strided_dnanvariancech( const int64_t N, const double correction, const double *X, const int64_t stride ) {
-	int64_t ix;
-	int64_t n;
-	int64_t i;
+double API_SUFFIX(stdlib_strided_dnanvariancech)( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX ) {
+	const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
+	return API_SUFFIX(stdlib_strided_dnanvariancech_ndarray)( N, correction, X, strideX, ox );
+}
+
+/**
+* Computes the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm and alternative indexing semantics.
+*
+* @param N            number of indexed elements
+* @param correction   degrees of freedom adjustment
+* @param X            input array
+* @param strideX      stride length
+* @param offsetX      starting index for X
+* @return             output value
+*/
+double API_SUFFIX(stdlib_strided_dnanvariancech_ndarray)( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
+	CBLAS_INT ix;
+	CBLAS_INT n;
+	CBLAS_INT i;
 	double M2;
 	double mu;
 	double nc;
@@ -54,18 +70,14 @@ double stdlib_strided_dnanvariancech( const int64_t N, const double correction,
 	if ( N <= 0 ) {
 		return 0.0 / 0.0; // NaN
 	}
-	if ( N == 1 || stride == 0 ) {
+	if ( N == 1 || strideX == 0 ) {
 		v = X[ 0 ];
 		if ( v == v && (double)N-correction > 0.0 ) {
 			return 0.0;
 		}
 		return 0.0 / 0.0; // NaN
 	}
-	if ( stride < 0 ) {
-		ix = (1-N) * stride;
-	} else {
-		ix = 0;
-	}
+	ix = offsetX;
 	// Find an estimate for the mean...
 	for ( i = 0; i < N; i++ ) {
 		v = X[ ix ];
@@ -73,12 +85,12 @@ double stdlib_strided_dnanvariancech( const int64_t N, const double correction,
 			mu = v;
 			break;
 		}
-		ix += stride;
+		ix += strideX;
 	}
 	if ( i == N ) {
 		return 0.0 / 0.0; // NaN
 	}
-	ix += stride;
+	ix += strideX;
 	i += 1;
 
 	// Compute the variance...
@@ -93,7 +105,7 @@ double stdlib_strided_dnanvariancech( const int64_t N, const double correction,
 			M += d;
 			n += 1;
 		}
-		ix += stride;
+		ix += strideX;
 	}
 	dn = (double)n;
 	nc = dn - correction;
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.dnanvariancech.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.dnanvariancech.js
index 9e76d0079f0c..a0846cb2eecf 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.dnanvariancech.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.dnanvariancech.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
 var dnanvariancech = require( './../lib/dnanvariancech.js' );
@@ -213,7 +212,6 @@ tape( 'if provided a `correction` parameter yielding a correction term less than
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -230,15 +228,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanvariancech( N, 1, x, 2 );
+	v = dnanvariancech( 5, 1, x, 2 );
 
 	t.strictEqual( v, 6.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 	var i;
@@ -255,9 +251,8 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		4.0,  // 0
 		2.0
 	]);
-	N = floor( x.length / 2 );
 
-	v = dnanvariancech( N, 1, x, -2 );
+	v = dnanvariancech( 5, 1, x, -2 );
 	t.strictEqual( v, 6.25, 'returns expected value' );
 
 	x = new Float64Array( 1e3 );
@@ -295,7 +290,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns `0` p
 tape( 'the function supports view offsets', function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float64Array([
@@ -313,9 +307,8 @@ tape( 'the function supports view offsets', function test( t ) {
 	]);
 
 	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = dnanvariancech( N, 1, x1, 2 );
+	v = dnanvariancech( 5, 1, x1, 2 );
 	t.strictEqual( v, 6.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.dnanvariancech.native.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.dnanvariancech.native.js
index 7a9ba7dbe47b..a103a9877671 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.dnanvariancech.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.dnanvariancech.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -222,7 +221,6 @@ tape( 'if provided a `correction` parameter yielding a correction term less than
 });
 
 tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -239,15 +237,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanvariancech( N, 1, x, 2 );
+	v = dnanvariancech( 5, 1, x, 2 );
 
 	t.strictEqual( v, 6.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 	var i;
@@ -264,9 +260,8 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		4.0,  // 0
 		2.0
 	]);
-	N = floor( x.length / 2 );
 
-	v = dnanvariancech( N, 1, x, -2 );
+	v = dnanvariancech( 5, 1, x, -2 );
 	t.strictEqual( v, 6.25, 'returns expected value' );
 
 	x = new Float64Array( 1e3 );
@@ -304,7 +299,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns `0` p
 tape( 'the function supports view offsets', opts, function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float64Array([
@@ -322,9 +316,8 @@ tape( 'the function supports view offsets', opts, function test( t ) {
 	]);
 
 	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = dnanvariancech( N, 1, x1, 2 );
+	v = dnanvariancech( 5, 1, x1, 2 );
 	t.strictEqual( v, 6.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.ndarray.js
index 4ac85d917c5c..2ccab39aee53 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.ndarray.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
 var dnanvariancech = require( './../lib/ndarray.js' );
@@ -213,7 +212,6 @@ tape( 'if provided a `correction` parameter yielding a correction term less than
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -230,15 +228,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanvariancech( N, 1, x, 2, 0 );
+	v = dnanvariancech( 5, 1, x, 2, 0 );
 
 	t.strictEqual( v, 6.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 	var i;
@@ -255,9 +251,8 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		4.0,  // 0
 		2.0
 	]);
-	N = floor( x.length / 2 );
 
-	v = dnanvariancech( N, 1, x, -2, 8 );
+	v = dnanvariancech( 5, 1, x, -2, 8 );
 	t.strictEqual( v, 6.25, 'returns expected value' );
 
 	x = new Float64Array( 1e3 );
@@ -293,7 +288,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns `0` p
 });
 
 tape( 'the function supports an `offset` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -309,9 +303,8 @@ tape( 'the function supports an `offset` parameter', function test( t ) {
 		NaN,
 		NaN   // 4
 	]);
-	N = floor( x.length / 2 );
 
-	v = dnanvariancech( N, 1, x, 2, 1 );
+	v = dnanvariancech( 5, 1, x, 2, 1 );
 	t.strictEqual( v, 6.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.ndarray.native.js
index 89b4c1fa9252..42cd423f955b 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/test/test.ndarray.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -222,7 +221,6 @@ tape( 'if provided a `correction` parameter yielding a correction term less than
 });
 
 tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -239,15 +237,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanvariancech( N, 1, x, 2, 0 );
+	v = dnanvariancech( 5, 1, x, 2, 0 );
 
 	t.strictEqual( v, 6.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 	var i;
@@ -264,9 +260,8 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		4.0,  // 0
 		2.0
 	]);
-	N = floor( x.length / 2 );
 
-	v = dnanvariancech( N, 1, x, -2, 8 );
+	v = dnanvariancech( 5, 1, x, -2, 8 );
 	t.strictEqual( v, 6.25, 'returns expected value' );
 
 	x = new Float64Array( 1e3 );
@@ -302,7 +297,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns `0` p
 });
 
 tape( 'the function supports an `offset` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -318,9 +312,8 @@ tape( 'the function supports an `offset` parameter', opts, function test( t ) {
 		NaN,
 		NaN   // 4
 	]);
-	N = floor( x.length / 2 );
 
-	v = dnanvariancech( N, 1, x, 2, 1 );
+	v = dnanvariancech( 5, 1, x, 2, 1 );
 	t.strictEqual( v, 6.25, 'returns expected value' );
 
 	t.end();