feat: add implementation for `stats/base/dists/halfnormal/quantile` #9723

Om-A-osc · 2026-01-13T12:46:31Z

Progressess #9416.

Description

What is the purpose of this pull request?

This pull request adds a complete implementation of the Half-Normal distribution quantile function (halfnormal/quantile) across the JavaScript, native C, and N-API layers.

Related Issues

Does this pull request have any related issues?

This pull request has the following related issues:

[RFC]: Tracking issue for complete implementation of @stdlib/stats/base/dists/halfnormal package #9416

Questions

Any questions for reviewers of this pull request?

No.

Other

Any other information relevant to this pull request? This may include screenshots, references, and/or implementation notes.

All tests, benchmarks, and examples pass for both JavaScript and C implementations. The implementation handles edge cases correctly, including invalid probabilities, non-positive scale parameters, the degenerate case σ = 0, and p = 1 returning +Infinity.

Checklist

Please ensure the following tasks are completed before submitting this pull request.

Read, understood, and followed the contributing guidelines.

AI Assistance

When authoring the changes proposed in this PR, did you use any kind of AI assistance?

Yes
No

If you answered "yes" above, how did you use AI assistance?

Code generation (e.g., when writing an implementation or fixing a bug)
Test/benchmark generation
Documentation (including examples)
Research and understanding

Disclosure

I used ChatGPT to help derive and verify the half-normal quantile formula.

@stdlib-js/reviewers

--- 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: missing_dependencies - task: lint_c_examples status: missing_dependencies - task: lint_c_benchmarks status: missing_dependencies - 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 ---

--- 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: na - 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

Looks close to be ready.

Planeshifter · 2026-01-13T17:12:04Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/src/main.c

+	) {
+		return 0.0 / 0.0; // NaN
+	}
+	if( sigma == 0.0 ){


Missing space after if and before opening brace. stdlib C style requires if ( condition ) {.

Suggested change

if( sigma == 0.0 ){

if ( sigma == 0.0 ) {

Planeshifter · 2026-01-13T17:12:11Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/src/main.c

+	if( sigma == 0.0 ){
+		return 0.0;
+	}
+	if( p == 1.0 ){


Same here - needs spaces after if and before the brace.

Suggested change

if( p == 1.0 ){

if ( p == 1.0 ) {

Planeshifter · 2026-01-13T17:12:17Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/lib/index.js


 /**
-* Compute the variance of a one-dimensional ndarray using Welford's algorithm.
+* Halfnormal distribution quantile function.


Missing hyphen - should be "Half-normal" (with hyphen) to match the README and other documentation in this package.

Suggested change

* Halfnormal distribution quantile function.

* Half-normal distribution quantile function.

stdlib-bot · 2026-01-13T17:20:17Z

Coverage Report

Package	Statements	Branches	Functions	Lines
stats/base/dists/halfnormal/quantile	$\color{green}305/305$ $\color{green}+0.00%$	$\color{green}29/29$ $\color{green}+0.00%$	$\color{green}4/4$ $\color{green}+0.00%$	$\color{green}305/305$ $\color{green}+0.00%$

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

--- 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: na - task: lint_repl_help status: na - task: lint_javascript_src status: passed - 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: missing_dependencies - 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 ---

Om-A-osc · 2026-01-13T17:38:20Z

Thank you @Planeshifter for reviewing my PR. I’ve addressed the style issue in main.c and ensured that Half-normal is used consistently as the name throughout the package. Please let me know if anything else needs to be updated.

--- 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: na - task: lint_javascript_src status: na - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: na - 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 ---

Neerajpathak07 · 2026-01-22T15:54:24Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/benchmark/benchmark.js

+	b.end();
+});
+
+bench( pkg+':factory', function benchmark( b ) {


Suggested change

bench( pkg+':factory', function benchmark( b ) {

bench( format( '%s::factory', pkg ), function benchmark( b ) {

Neerajpathak07 · 2026-01-22T15:54:44Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/benchmark/benchmark.js

+var bench = require( '@stdlib/bench' );
+var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );


Suggested change

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

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

var format = require( '@stdlib/string/format' );

Neerajpathak07 · 2026-01-22T16:02:26Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/lib/factory.js

+	}
+	return quantile;


Why is sigma not being precomputed through factory fcn here

For a Half-normal distribution, sigma is CONSTANT for a given factory instance, but the quantile value itself depends on the input probability p. As a result, there isn’t anything meaningful to precompute inside factory.js beyond validating sigma and handling edge cases which is correctly being done here. TLDR nothing to precompute. However a little optimization of calculating sigma * sqrt(2) can be done and i will fix it.

Neerajpathak07

@Om-A-osc This PR will need a bit off refactoring. I suggest you to take a closer look at how the statistical distribution packages are implemented w.r.t the current code convention.
A few examples that I have in mind are:-

wald/pdf
wald/mean
halfnormal/stdev

Neerajpathak07 · 2026-01-22T16:14:26Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/README.md

+```
+
+<!-- <div class="equation" align="center" data-raw-text="Q(p;\sigma) = \sigma\sqrt{2}\,\operatorname{erf}^{-1}(p)" data-equation="eq:halfnormal_quantile_function">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@bb29798d6de5a1de3c633e038f832c3c04207865/lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/docs/img/equation_halfnormal_quantile_function.svg" alt="Quantile function for a Half-normal distribution.">


Better to remove this link as you haven't added the svg file for halfnormal/quantile

Neerajpathak07 · 2026-01-22T16:14:30Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/README.md

+
+#### quantile.factory( sigma )
+
+Returns a function for evaluating the [quantile function][quantile-function] of a [Half-normal][halfnormal-distribution] distribution with parameter `sigma`.


Suggested change

Returns a function for evaluating the [quantile function][quantile-function] of a [Half-normal][halfnormal-distribution] distribution with parameter `sigma`.

Returns a function for evaluating the [quantile function][quantile-function] of a [Half-normal][halfnormal-distribution] distribution with scale parameter `sigma`.

Neerajpathak07 · 2026-01-22T16:14:45Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/benchmark/benchmark.js

+	len = 100;
+	p = new Float64Array( len );
+	sigma = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		p[ i ] = uniform( 0.0, 1.0 );
+		sigma[ i ] = uniform( EPS, 20.0 );
+	}


Suggested change

len = 100;

p = new Float64Array( len );

sigma = new Float64Array( len );

for ( i = 0; i < len; i++ ) {

p[ i ] = uniform( 0.0, 1.0 );

sigma[ i ] = uniform( EPS, 20.0 );

}

len = 100;

p = uniform( len, 0.0, 1.0 );

sigma = uniform( len, EPS, 20.0 );

@Neerajpathak07

If you’re referring specifically to @stdlib/random/base/uniform, then it’s worth checking the actual implementation before drawing conclusions.

At the core level, the arguments are not interpreted as (length, min, max). The uniform generator is scalar, and its signature is:

* Returns a uniformly distributed pseudorandom number with minimum support `a` * and maximum support `b`. * * @private * @param {PRNG} rand - pseudorandom number generator * @param {number} a - minimum support (inclusive) * @param {number} b - maximum support (exclusive) * @returns {number} pseudorandom number */ function uniform( rand, a, b ) { var r = rand(); return ( b*r ) + ( (1.0-r)*a ); // equivalent to (b-a)*r + a }

Here:

a and b are bounds

the first argument is a PRNG function

there is no notion of array size at this level

Calling something like uniform(100, 0, 1) would be invalid for this function.
100 would be treated as a PRNG and and will give incorrect result.

The current benchmark is correct and passes all benchmark tests and should be good.

If the comment is about a different package or wrapper, could you please mention its name explicitly so we’re discussing the same API? That would help keep the feedback focused and actionable.
Please review the implementation and call logic before commenting, and limit
suggestions to concrete, credible improvements rather than assumptions.

Here we are using:-

var uniform = require( '@stdlib/random/array/uniform' );

And the reason for this modification is to remove the need of for loop and generate values up to a len of 100 for both variables. This is also present in a few of the upstream statistical packages which is why I recommended you to take a look at how it was implemented there.
You're right I should have added a comment suggesting to update the path as well. Sorry for the confusion.

@Neerajpathak07 is correct. We have moved away from generating individual random variates toward preallocating arrays.

Neerajpathak07 · 2026-01-22T16:14:48Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/benchmark/benchmark.js

+	sigma = 4.0;
+	myquantile = quantile.factory( sigma );
+	len = 100;
+	p = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		p[ i ] = uniform( 0.0, 1.0 );
+	}


Suggested change

sigma = 4.0;

myquantile = quantile.factory( sigma );

len = 100;

p = new Float64Array( len );

for ( i = 0; i < len; i++ ) {

p[ i ] = uniform( 0.0, 1.0 );

}

myquantile = quantile.factory( 4.0 );

p = uniform( 0.0, 1.0 );

Neerajpathak07 · 2026-01-22T16:15:03Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/benchmark/benchmark.native.js

+	len = 100;
+	p = new Float64Array( len );
+	sigma = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		p[ i ] = uniform( 0.0, 1.0 );
+		sigma[ i ] = uniform( EPS, 20.0 );
+	}


same comment

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/src/main.c

Neerajpathak07 · 2026-01-22T16:16:27Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/test/fixtures/julia/REQUIRE

Why is this file empty.
We are expected to add dependencies to generate test fixtures here.

Neerajpathak07 · 2026-01-22T16:16:32Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/test/fixtures/julia/runner.jl

+	for i in eachindex(p)
+		# Half-normal quantile:
+		# Q(p) = sigma * sqrt(2) * erfinv(p)
+		z[i] = sigma[i] * sqrt(2.0) * erfinv(p[i])


better to import halfnormal form the distributions and use here.
ref:- https://github.com/stdlib-js/stdlib/blob/develop/lib/node_modules/%40stdlib/stats/base/dists/halfnormal/stdev/test/fixtures/julia/runner.jl

HalfNormal doesn't exist in Julia; that was an oversight that didn't get caught in PR review. We still need to clean up the runner in the stdev package.

Yeah just went through julia's doc to see if it supports halfnormal turns out it doesn't.
@Planeshifter but I'm curious how was it able to generate the fixtures in the first place?

The fixtures must have been generated in some other way...

Neerajpathak07 · 2026-01-22T16:16:36Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/test/test.factory.js

+			} else {
+				delta = abs( q( p[i] ) - expected[i] );
+				tol = 40.0 * EPS * abs( expected[i] );
+				t.ok(delta <= tol, 'p: '+p[i]+', sigma: '+sigma[i]+', q: '+q(p[i])+', expected: '+expected[i]);
+			}


We can modify this test to use isAlmostSameValue var
ref:-

stdlib/lib/node_modules/@stdlib/stats/base/dists/wald/pdf/test/test.factory.js

Line 262 in 89e6e3f

t.ok( isAlmostSameValue( y, expected[i], 1500 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );

Also update the other test files with this!

Neerajpathak07 · 2026-01-22T16:16:40Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/test/test.quantile.js

+	var i;
+
+	for ( i = 0; i < p.length; i++ ) {
+		y = quantile( p[i], sigma[i] );


I am a bit confused on why the values for p and sigma in this edge case are not coming form the generated fixture which is data.json

Please take a closer look p and sigma are indeed coming from data.json, as shown by their declarations at the top of the file.

Yes but at the incorrect position instead of L34 we need to add it inside this edge case. Do you know why we are doing this?

I have made the change in latest commit. I am not sure but ig its better to have data in test stack rather than heap .Would love to learn more.

Yeah almost there so in your previous attainment you had drawn data from the fixture correctly but it was placed inside the // fixture def were we defined where the auto-generated fixtures are coming from. In-order to keep that def clean and meaningful we avoid any implicit changes.
Also a fact that loading generated values inside a test case when needed can be much more viable and readable.
This is also something that I learned through time, so no need to beat yourself to it!!!!

--- 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: na - task: lint_repl_help status: na - 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: na - task: lint_python status: missing_dependencies - task: lint_r status: na - task: lint_c_src status: na - task: lint_c_examples status: na - task: lint_c_benchmarks status: missing_dependencies - 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 ---

--- 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: na - task: lint_javascript_src status: na - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: na - task: lint_javascript_benchmarks status: na - task: lint_python status: missing_dependencies - 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 ---

…tfile comments --- 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: na - 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: passed - task: lint_python status: passed - 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 ---

Om-A-osc · 2026-01-23T13:22:16Z

@Neerajpathak07 @Planeshifter
I’ve addressed all the review comments in this PR.

Summary of changes:

Switched to @stdlib/random/array/uniform where appropriate.
Migrated fixture generation from Julia to SciPy, as Julia does not provide a Half-Normal distribution API suitable for generating quantile fixtures.
Fixed fixture loading and usage in the test files to ensure consistency across JS and native implementations.
Updated benchmark files to use format for consistency and correctness.
Made a few other minor cleanup and consistency changes.

All tests, linters, and benchmarks (JS + native) are now passing .

Thank you for taking the time to review this and for the helpful feedback. Please have a look when you get a chance I’m happy to make any further adjustments if needed.

kgryte · 2026-01-25T09:49:27Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/test/test.quantile.js

+});
+
+tape( 'if any argument is NaN, the function returns NaN', function test( t ) {
+	t.ok( isnan( quantile( NaN, 1.0 ) ), 'p NaN' );


You're deviating from a number of our test conventions here. Typically, we use an explicit t.strictEqual. Furthermore, we have standardized around always using returns expected value for the test message here and below.

There are reasons for this. Namely, to assist in future migration to an in-house test runner. If everything adheres to common conventions, this will make migration much more straightforward.

We cannot use strictEqual for testing NaN values herer, since in JavaScript NaN === NaN evaluates to false. However, strictEqual will still be used wherever possible, and I will make sure we use "returns expected value" the test message.

kgryte · 2026-01-25T09:49:41Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/test/test.quantile.js

+	t.end();
+});
+
+tape( 'the function evaluates the Half-normal quantile correctly', function test( t ) {


Suggested change

tape( 'the function evaluates the Half-normal quantile correctly', function test( t ) {

tape( 'the function evaluates the half-normal quantile', function test( t ) {

kgryte · 2026-01-25T09:50:01Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/test/test.quantile.js

+	t.end();
+});
+
+tape( 'p = 1 returns +Infinity', function test( t ) {


Suggested change

tape( 'p = 1 returns +Infinity', function test( t ) {

tape( 'if p = 1, the function returns positive infinity', function test( t ) {

kgryte · 2026-01-25T09:50:46Z

lib/node_modules/@stdlib/stats/base/dists/halfnormal/quantile/test/test.quantile.js

+		if ( expected[i] !== null ) {
+			if ( y === expected[i] ) {
+				t.strictEqual( y, expected[i], 'p: '+p[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
+			} else {
+				t.ok( isAlmostSameValue( y, expected[ i ], 40.0 ), 'within tolerance. p: '+p[ i ]+'. sigma: '+sigma[ i ]+'. y: '+y+'. expected: '+expected[ i ]+'.' );
+			}
+		}


Consolidate to t.strictEqual( isAlmostSameValue( y, expected[ i ], 40 ), true, ... );. No need for the various branching here.

--- 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: na - 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 ---

Om-A-osc · 2026-01-25T11:31:40Z

@kgryte Thank you for your review. I did couple of requested changes. Have a look whenever free.

Om-A-osc added 2 commits January 13, 2026 18:04

stdlib-bot added Statistics Issue or pull request related to statistical functionality. First-time Contributor A pull request from a contributor who has never previously committed to the project repository. Needs Review A pull request which needs code review. labels Jan 13, 2026

Planeshifter requested changes Jan 13, 2026

View reviewed changes

Om-A-osc requested a review from Planeshifter January 14, 2026 14:59

stdlib-bot removed the First-time Contributor A pull request from a contributor who has never previously committed to the project repository. label Jan 22, 2026

Neerajpathak07 reviewed Jan 22, 2026

View reviewed changes

Neerajpathak07 suggested changes Jan 22, 2026

View reviewed changes

Om-A-osc added 3 commits January 23, 2026 17:32

Neerajpathak07 mentioned this pull request Jan 23, 2026

feat: implementation of stats/base/dists/halfnormal/mgf #9739

Open

7 tasks

kgryte reviewed Jan 25, 2026

View reviewed changes

kgryte added Feature Issue or pull request for adding a new feature. difficulty: 2 May require some initial design or R&D, but should be straightforward to resolve and/or implement. and removed Needs Review A pull request which needs code review. labels Jan 25, 2026

	* Halfnormal distribution quantile function.
	* Half-normal distribution quantile function.

	bench( pkg+':factory', function benchmark( b ) {
	bench( format( '%s::factory', pkg ), function benchmark( b ) {

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


		#### quantile.factory( sigma )

		Returns a function for evaluating the [quantile function][quantile-function] of a [Half-normal][halfnormal-distribution] distribution with parameter `sigma`.

	tape( 'the function evaluates the Half-normal quantile correctly', function test( t ) {
	tape( 'the function evaluates the half-normal quantile', function test( t ) {

	tape( 'p = 1 returns +Infinity', function test( t ) {
	tape( 'if p = 1, the function returns positive infinity', function test( t ) {

Uh oh!

feat: add implementation for stats/base/dists/halfnormal/quantile #9723

Are you sure you want to change the base?

feat: add implementation for stats/base/dists/halfnormal/quantile #9723

Conversation

Om-A-osc commented Jan 13, 2026

Description

Related Issues

Questions

Other

Checklist

AI Assistance

Disclosure

Uh oh!

Planeshifter left a comment

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

stdlib-bot commented Jan 13, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Coverage Report

Uh oh!

Om-A-osc commented Jan 13, 2026

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Om-A-osc Jan 23, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Neerajpathak07 left a comment

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Neerajpathak07 Jan 22, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Neerajpathak07 Jan 22, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

feat: add implementation for `stats/base/dists/halfnormal/quantile` #9723

feat: add implementation for `stats/base/dists/halfnormal/quantile` #9723

stdlib-bot commented Jan 13, 2026 •

edited

Loading

Om-A-osc Jan 23, 2026 •

edited

Loading

Neerajpathak07 Jan 22, 2026 •

edited

Loading

Neerajpathak07 Jan 22, 2026 •

edited

Loading