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@@ -2,6 +2,6 @@
 
 We are excited about your pull request, but unfortunately we are not accepting pull requests against this repository, as all development happens on the [main project repository](https://github.com/stdlib-js/stdlib). We kindly request that you submit this pull request against the [respective directory](https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariancech) of the main repository where we’ll review and provide feedback. 
 
-If this is your first stdlib contribution, be sure to read the [contributing guide](https://github.com/stdlib-js/stdlib/blob/develop/CONTRIBUTING.md) which provides guidelines and instructions for submitting contributions. You may also consult the [development guide](https://github.com/stdlib-js/stdlib/blob/develop/docs/development.md) for help on developing stdlib.
+If this is your first stdlib contribution, be sure to read the [contributing guide](https://github.com/stdlib-js/stdlib/blob/develop/CONTRIBUTING.md) which provides guidelines and instructions for submitting contributions. You may also consult the [development guide](https://github.com/stdlib-js/stdlib/blob/develop/docs/contributing/development.md) for help on developing stdlib.
 
 We look forward to receiving your contribution! :smiley:

.github/PULL_REQUEST_TEMPLATE.md

@@ -188,3 +188,7 @@ jsconfig.json
 # Other editor files #
 ######################
 .idea/
+
+# Cursor #
+##########
+.cursorignore

.gitignore

@@ -4,14 +4,25 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2025-01-20)
+## Unreleased (2025-02-23)
+
+<section class="features">
+
+### Features
+
+-   [`00b23b3`](https://github.com/stdlib-js/stdlib/commit/00b23b3cb5b4e72bf977a9ac170062f8e8614ef1) - add C ndarray interface and refactor implementation for `stats/base/dnanvariancech` [(#4803)](https://github.com/stdlib-js/stdlib/pull/4803)
+
+</section>
+
+<!-- /.features -->
 
 <section class="commits">
 
 ### Commits
 
 <details>
 
+-   [`00b23b3`](https://github.com/stdlib-js/stdlib/commit/00b23b3cb5b4e72bf977a9ac170062f8e8614ef1) - **feat:** add C ndarray interface and refactor implementation for `stats/base/dnanvariancech` [(#4803)](https://github.com/stdlib-js/stdlib/pull/4803) _(by Prashant Kumar Yadav)_
 -   [`ca5cd8e`](https://github.com/stdlib-js/stdlib/commit/ca5cd8eda51ba2c274b9aeb0161f6c1cdf6a3e09) - **refactor:** update `stats/base/dnanvariancech` native addon from C++ to C [(#4719)](https://github.com/stdlib-js/stdlib/pull/4719) _(by Prashant Kumar Yadav)_
 -   [`62364f6`](https://github.com/stdlib-js/stdlib/commit/62364f62ea823a3b52c2ad25660ecd80c71f8f36) - **style:** fix C comment alignment _(by Philipp Burckhardt)_
 -   [`9e689ff`](https://github.com/stdlib-js/stdlib/commit/9e689ffcb7c6223afc521f1e574b42f10921cf5e) - **chore:** fix indentation in manifest.json files _(by Philipp Burckhardt)_

CHANGELOG.md

@@ -5,6 +5,7 @@
 Aadish Jain <[email protected]>
 Aayush Khanna <[email protected]>
 Abhijit Raut <[email protected]>
+Abhishek Jain <[email protected]>
 Adarsh Palaskar <[email protected]>
 Aditya Sapra <[email protected]>
 Ahmed Atwa <[email protected]>
@@ -35,9 +36,12 @@ Dominik Moritz <[email protected]>
 Dorrin Sotoudeh <[email protected]>
 EuniceSim142 <[email protected]>
 Frank Kovacs <[email protected]>
+GK Bishnoi <[email protected]>
+Gaurav <[email protected]>
 Golden Kumar <[email protected]>
 Gunj Joshi <[email protected]>
-Gururaj Gurram <[email protected]>
+Gururaj Gurram <[email protected]>
+Harsh <[email protected]>
 HarshaNP <[email protected]>
 Harshita Kalani <[email protected]>
 Hridyanshu <[email protected]>
@@ -54,6 +58,7 @@ Justin Dennison <[email protected]>
 Karan Anand <[email protected]>
 Karthik Prakash <[email protected]>
 Kohantika Nath <[email protected]>
+Krishnam Agarwal <[email protected]>
 Krishnendu Das <[email protected]>
 Kshitij-Dale <[email protected]>
 Lovelin Dhoni J B <[email protected]>
@@ -63,6 +68,7 @@ Marcus Fantham <[email protected]>
 Matt Cochrane <[email protected]>
 Mihir Pandit <[email protected]>
 Milan Raj <[email protected]>
+Mohammad Bin Aftab <[email protected]>
 Mohammad Kaif <[email protected]>
 Momtchil Momtchev <[email protected]>
 Muhammad Haris <[email protected]>
@@ -90,6 +96,7 @@ Rejoan Sardar <[email protected]>
 Ricky Reusser <[email protected]>
 Ridam Garg <[email protected]>
 Rishav <[email protected]>
+Rishav Tarway <[email protected]>
 Robert Gislason <[email protected]>
 Roman Stetsyk <[email protected]>
 Rutam Kathale <[email protected]>
@@ -100,6 +107,7 @@ Sai Srikar Dumpeti <[email protected]>
 Sarthak Paandey <[email protected]>
 Saurabh Singh <[email protected]>
 Seyyed Parsa Neshaei <[email protected]>
+Shabareesh Shetty <[email protected]>
 Shashank Shekhar Singh <[email protected]>
 Shivam Ahir <[email protected]>
 Shraddheya Shendre <[email protected]>
@@ -110,6 +118,7 @@ Snehil Shah <[email protected]>
 Soumajit Chatterjee <[email protected]>
 Spandan Barve <[email protected]>
 Stephannie Jiménez Gacha <[email protected]>
+Suhaib Ilahi <[email protected]>
 Suraj Kumar <[email protected]>
 Tirtadwipa Manunggal <[email protected]>
 Tudor Pagu <[email protected]>
@@ -124,6 +133,9 @@ Vivek Maurya <[email protected]>
 Xiaochuan Ye <[email protected]>
 Yaswanth Kosuru <[email protected]>
 Yernar Yergaziyev <[email protected]>
+Yuvi Mittal <[email protected]>
+ekambains <[email protected]>
 olenkabilonizhka <[email protected]>
+pranav-1720 <[email protected]>
 rainn <[email protected]>
 rei2hu <[email protected]>

CONTRIBUTORS

@@ -131,7 +131,7 @@ To view installation and usage instructions specific to each branch build, be su
 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.
 
@@ -149,18 +149,16 @@ 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
 ```
 
@@ -170,44 +168,39 @@ 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
 ```
 
 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
 ```
 
@@ -234,19 +227,19 @@ 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 );
@@ -256,6 +249,125 @@ 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">