feat: add `stats/base/ndarray/dvariancech` #9685

DivyanshuVortex · 2026-01-10T18:49:08Z

Resolves : none.

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feat: add stats/base/ndarray/dvariancech

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--- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown status: passed - task: lint_package_json status: passed - task: lint_repl_help status: passed - task: lint_javascript_src status: passed - task: lint_javascript_cli status: na - task: lint_javascript_examples status: passed - task: lint_javascript_tests status: passed - task: lint_javascript_benchmarks status: passed - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: na - task: lint_c_examples status: na - task: lint_c_benchmarks status: na - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - task: lint_typescript_declarations status: passed - task: lint_typescript_tests status: passed - task: lint_license_headers status: passed ---

stdlib-bot · 2026-01-10T18:51:12Z

Coverage Report

Package	Statements	Branches	Functions	Lines
stats/base/ndarray/dvariancech	$\color{green}124/124$ $\color{green}+0.00%$	$\color{green}3/3$ $\color{green}+0.00%$	$\color{green}1/1$ $\color{green}+0.00%$	$\color{green}124/124$ $\color{green}+0.00%$

The above coverage report was generated for the changes in this PR.

Planeshifter · 2026-01-11T06:58:16Z

lib/node_modules/@stdlib/stats/base/ndarray/dvariancech/docs/repl.txt

+{{alias}}( arrays )
+    Computes the variance of a one-dimensional single-precision floating-point
+    ndarray using a one-pass trial mean algorithm.


This says "single-precision" but it should say "double-precision" since this is a d-prefixed package working with float64 data.

Suggested change

{{alias}}( arrays )

Computes the variance of a one-dimensional single-precision floating-point

ndarray using a one-pass trial mean algorithm.

{{alias}}( arrays )

Computes the variance of a one-dimensional double-precision floating-point

ndarray using a one-pass trial mean algorithm.

Planeshifter · 2026-01-11T06:58:24Z

lib/node_modules/@stdlib/stats/base/ndarray/dvariancech/test/test.js

+// MODULES //
+
+var tape = require( 'tape' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );


This should use isnan (double-precision) instead of isnanf (single-precision) since this package operates on float64 data. You can check similar packages like @stdlib/stats/base/ndarray/variancech or @stdlib/stats/base/ndarray/dstdev for reference.

Suggested change

var isnanf = require( '@stdlib/math/base/assert/is-nanf' );

var isnan = require( '@stdlib/math/base/assert/is-nan' );

Planeshifter · 2026-01-11T06:58:30Z

lib/node_modules/@stdlib/stats/base/ndarray/dvariancech/test/test.js

+
+var tape = require( 'tape' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var float64Array = require( '@stdlib/array/float64' );


Constructor variables should use PascalCase per stdlib style guidelines.

Suggested change

var float64Array = require( '@stdlib/array/float64' );

var Float64Array = require( '@stdlib/array/float64' );

--- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown status: na - task: lint_package_json status: na - task: lint_repl_help status: passed - task: lint_javascript_src status: na - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: passed - task: lint_javascript_benchmarks status: na - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: na - task: lint_c_examples status: na - task: lint_c_benchmarks status: na - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - task: lint_typescript_declarations status: passed - task: lint_typescript_tests status: na - task: lint_license_headers status: passed ---

Planeshifter · 2026-01-12T20:08:18Z

lib/node_modules/@stdlib/stats/base/ndarray/dvariancech/lib/main.js

+function variancech( arrays ) {
+	var correction;
+	var x;
+
+	x = arrays[ 0 ];
+	correction = ndarraylike2scalar( arrays[ 1 ] );
+
+	return strided( numelDimension( x, 0 ), correction, getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = variancech;


The function name should be dvariancech to match the package name.

Planeshifter · 2026-01-12T20:08:19Z

lib/node_modules/@stdlib/stats/base/ndarray/dvariancech/docs/types/index.d.ts

+
+/// <reference types="@stdlib/types"/>
+
+import { typedndarray } from '@stdlib/types/ndarray';


Missing float64ndarray import. Comparing to the reference dstdev package, this should be:

Suggested change

import { typedndarray } from '@stdlib/types/ndarray';

import { float64ndarray, typedndarray } from '@stdlib/types/ndarray';

Planeshifter · 2026-01-12T20:08:22Z

lib/node_modules/@stdlib/stats/base/ndarray/dvariancech/docs/types/index.d.ts

+* var v = dvariancech( [ x, correction ] );
+* // returns ~4.3333
+*/
+declare function dvariancech<T extends typedndarray<number> = typedndarray<number>>( arrays: [ T, T ] ): number;


The first array element should be typed as float64ndarray since this is a double-precision function (the d prefix). Comparing to dstdev:

Suggested change

declare function dvariancech<T extends typedndarray<number> = typedndarray<number>>( arrays: [ T, T ] ): number;

declare function dvariancech<T extends typedndarray<number> = typedndarray<number>>( arrays: [ float64ndarray, T ] ): number;

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feat: add `stats/base/ndarray/dvariancech` #9685

feat: add `stats/base/ndarray/dvariancech` #9685

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	var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
	var isnan = require( '@stdlib/math/base/assert/is-nan' );

	var float64Array = require( '@stdlib/array/float64' );
	var Float64Array = require( '@stdlib/array/float64' );


		/// <reference types="@stdlib/types"/>

		import { typedndarray } from '@stdlib/types/ndarray';

	import { typedndarray } from '@stdlib/types/ndarray';
	import { float64ndarray, typedndarray } from '@stdlib/types/ndarray';

	declare function dvariancech<T extends typedndarray<number> = typedndarray<number>>( arrays: [ T, T ] ): number;
	declare function dvariancech<T extends typedndarray<number> = typedndarray<number>>( arrays: [ float64ndarray, T ] ): number;

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DivyanshuVortex commented Jan 10, 2026

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feat: add `stats/base/ndarray/dvariancech` #9685

feat: add `stats/base/ndarray/dvariancech` #9685

stdlib-bot commented Jan 10, 2026 •

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