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Author: stdlib-bot

.github/.keepalive

@@ -2,6 +2,40 @@
 
 > Package changelog.
 
+<section class="release" id="unreleased">
+
+## Unreleased (2025-03-29)
+
+<section class="commits">
+
+### Commits
+
+<details>
+
+-   [`e6caafc`](https://github.com/stdlib-js/stdlib/commit/e6caafc261076eba2325f589f094c8264ba6d8b2) - **refactor:** update paths _(by Aayush Khanna)_
+
+</details>
+
+</section>
+
+<!-- /.commits -->
+
+<section class="contributors">
+
+### Contributors
+
+A total of 1 person contributed to this release. Thank you to this contributor:
+
+-   Aayush Khanna
+
+</section>
+
+<!-- /.contributors -->
+
+</section>
+
+<!-- /.release -->
+
 <section class="release" id="v0.2.2">
 
 ## 0.2.2 (2024-07-27)

CHANGELOG.md

@@ -3,8 +3,10 @@
 # Contributors listed in alphabetical order.
 
 Aadish Jain <[email protected]>
+Aarya Balwadkar <[email protected]>
 Aayush Khanna <[email protected]>
 Abdelrahman Samir <[email protected]>
+Abdul Kaium <[email protected]>
 Abhay Punia <[email protected]>
 Abhijit Raut <[email protected]>
 Abhishek Jain <[email protected]>
@@ -16,6 +18,7 @@ Ahmed Khaled <[email protected]>
 Aksshay Balasubramanian <[email protected]>
 Aleksandr <[email protected]>
 Ali Salesi <[email protected]>
+AlyAbdelmoneim <[email protected]>
 Aman Bhansali <[email protected]>
 AmanBhadkariya <[email protected]>
 Amit Jimiwal <[email protected]>
@@ -24,6 +27,7 @@ Anshu Kumar <[email protected]>
 Anudeep Sanapala <[email protected]>
 Athan Reines <[email protected]>
 Ayaka <[email protected]>
+Bhavishy Agrawal <[email protected]>
 Brendan Graetz <[email protected]>
 Bruno Fenzl <[email protected]>
 Bryan Elee <[email protected]>
@@ -61,6 +65,7 @@ Jaimin Godhani <[email protected]>
 Jaison D Souza <[email protected]>
 Jalaj Kumar <[email protected]>
 James Gelok <[email protected]>
+Jay Soni <[email protected]>
 Jaysukh Makvana <[email protected]>
 Jenish Thapa <[email protected]>
 Jithin KS <[email protected]>
@@ -73,11 +78,13 @@ Justyn Shelby <[email protected]>
 Karan Anand <[email protected]>
 Karthik Prakash <[email protected]>
 Kaushikgtm <[email protected]>
+Kavyansh-Bagdi <[email protected]>
 Kohantika Nath <[email protected]>
 Krishnam Agarwal <[email protected]>
 Krishnendu Das <[email protected]>
 Kshitij-Dale <[email protected]>
 Lovelin Dhoni J B <[email protected]>
+MANI <[email protected]>
 Manik Sharma <[email protected]>
 Manvith M <[email protected]>
 Marcus Fantham <[email protected]>
@@ -99,6 +106,7 @@ Ognjen Jevremović <[email protected]>
 Oneday12323 <[email protected]>
 Ori Miles <[email protected]>
 Philipp Burckhardt <[email protected]>
+Prajjwal Bajpai <[email protected]>
 Prajwal Kulkarni <[email protected]>
 Pranav Goswami <[email protected]>
 Pranjal Jha <[email protected]>
@@ -107,7 +115,9 @@ Pratik Singh <[email protected]>
 Pratyush Kumar Chouhan <[email protected]>
 Priyansh Prajapati <[email protected]>
 Priyanshu Agarwal <[email protected]>
+Pulkit Gupta <[email protected]>
 Pushpendra Chandravanshi <[email protected]>
+Rahul Kumar <[email protected]>
 Raunak Kumar Gupta <[email protected]>
 Rejoan Sardar <[email protected]>
 Ricky Reusser <[email protected]>
@@ -120,8 +130,10 @@ Rutam Kathale <[email protected]>
 Ruthwik Chikoti <[email protected]>
 Ryan Seal <[email protected]>
 Rylan Yang <[email protected]>
+SAHIL KUMAR <[email protected]>
 SHIVAM YADAV <[email protected]>
 Sai Srikar Dumpeti <[email protected]>
+Sanchay Ketan Sinha <[email protected]>
 Sarthak Paandey <[email protected]>
 Saurabh Singh <[email protected]>
 Seyyed Parsa Neshaei <[email protected]>

CONTRIBUTORS

@@ -215,7 +215,7 @@ var v = nanstdevwd.ndarray( N, 1, x, 2, 1 );
 
 -   If `N <= 0`, both functions return `NaN`.
 -   If `n - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment and `n` corresponds to the number of non-`NaN` indexed elements), both functions return `NaN`.
--   Depending on the environment, the typed versions ([`dnanstdevwd`][@stdlib/stats/base/dnanstdevwd], [`snanstdevwd`][@stdlib/stats/base/snanstdevwd], etc.) are likely to be significantly more performant.
+-   Depending on the environment, the typed versions ([`dnanstdevwd`][@stdlib/stats/strided/dnanstdevwd], [`snanstdevwd`][@stdlib/stats/base/snanstdevwd], etc.) are likely to be significantly more performant.
 
 </section>
 
@@ -271,7 +271,7 @@ console.log( v );
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats-base/dnanstdevwd`][@stdlib/stats/base/dnanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.</span>
+-   <span class="package-name">[`@stdlib/stats-strided/dnanstdevwd`][@stdlib/stats/strided/dnanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats-base/nanvariancewd`][@stdlib/stats/base/nanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats-base/nanstdev`][@stdlib/stats/base/nanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats-base/snanstdevwd`][@stdlib/stats/base/snanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.</span>
@@ -365,7 +365,7 @@ Copyright &copy; 2016-2025. The Stdlib [Authors][stdlib-authors].
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanstdevwd]: https://github.com/stdlib-js/stats-base-dnanstdevwd
+[@stdlib/stats/strided/dnanstdevwd]: https://github.com/stdlib-js/stats-strided-dnanstdevwd
 
 [@stdlib/stats/base/nanvariancewd]: https://github.com/stdlib-js/stats-base-nanvariancewd