@stdlib/stats-binomial-test

Exact test for the success probability in a Bernoulli experiment.

https://github.com/stdlib-js/stats-binomial-test

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
○
DOI references
○
Academic publication links
○
Committers with academic emails
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (14.3%) to scientific vocabulary

Keywords

bernoulli binomial exact hypothesis javascript math mathematics node node-js nodejs probability statistics stats stdlib summary test

Last synced: 6 months ago · JSON representation ·

Repository

Exact test for the success probability in a Bernoulli experiment.

Basic Info

Host: GitHub
Owner: stdlib-js
License: apache-2.0
Language: JavaScript
Default Branch: main
Homepage: https://github.com/stdlib-js/stdlib
Size: 4.31 MB

Statistics

Stars: 1
Watchers: 3
Forks: 1
Open Issues: 0
Releases: 0

Topics

bernoulli binomial exact hypothesis javascript math mathematics node node-js nodejs probability statistics stats stdlib summary test

Created over 4 years ago · Last pushed 6 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation Security

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

Binomial Test

Exact test for the success probability in a Bernoulli experiment.

## Installation ```bash npm install @stdlib/stats-binomial-test ``` Alternatively, - To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]). - If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions). - For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]). The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships. To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

## Usage ```javascript var binomialTest = require( '@stdlib/stats-binomial-test' ); ``` #### binomialTest( x\[, n]\[, opts] ) When supplied nonnegative integers `x` (number of successes in a Bernoulli experiment) and `n` (total number of trials), the function computes an exact test for the success probability in a Bernoulli experiment. Alternatively, `x` may be a two-element array containing the number of successes and failures, respectively. ```javascript var out = binomialTest( 550, 1000 ); /* returns { 'rejected': true, 'pValue': ~0.001, 'statistic': 0.55, 'ci': [ ~0.519, ~0.581 ], // ... } */ out = binomialTest( [ 550, 450 ] ); /* returns { 'rejected': true, 'pValue': ~0.001, 'statistic': 0.55, 'ci': [ ~0.519, ~0.581 ], // ... } */ ``` The returned object comes with a `.print()` method which when invoked will print a formatted output of the results of the hypothesis test. `print` accepts a `digits` option that controls the number of decimal digits displayed for the outputs and a `decision` option, which when set to `false` will hide the test decision. ```javascript console.log( out.print() ); /* e.g., => Exact binomial test Alternative hypothesis: True correlation coefficient is not equal to 0.5 pValue: 0.0017 statistic: 0.55 95% confidence interval: [0.5186,0.5811] Test Decision: Reject null in favor of alternative at 5% significance level */ ``` The function accepts the following `options`: - **alpha**: `number` in the interval `[0,1]` giving the significance level of the hypothesis test. Default: `0.05`. - **alternative**: Either `two-sided`, `less` or `greater`. Indicates whether the alternative hypothesis is that the true ratio of variances is greater than one (`greater`), smaller than one (`less`), or that the variances are the same (`two-sided`). Default: `two-sided`. - **p**: success `probability` under the null hypothesis. Default: `0.5`. By default, the hypothesis test is carried out at a significance level of `0.05`. To choose a different significance level, set the `alpha` option. ```javascript var out = binomialTest( 59, 100, { 'alpha': 0.1 }); /* returns { 'rejected': true, 'pValue': ~0.089, 'statistic': 0.59, 'ci': [ ~0.487, ~0.687 ], // ... } */ ``` By default, a two-sided test is performed. To perform either of the one-sided tests, set the `alternative` option to `less` or `greater`. ```javascript out = binomialTest( 550, 1000, { 'alternative': 'greater' }); table = out.print(); /** e.g., returns Exact binomial test Alternative hypothesis: True correlation coefficient is greater than 0.5 pValue: 0.0009 statistic: 0.55 95% confidence interval: [0.5235,1] Test Decision: Reject null in favor of alternative at 5% significance level */ out = binomialTest( 550, 1000, { 'alternative': 'less' }); table = out.print(); /* e.g., returns Exact binomial test Alternative hypothesis: True correlation coefficient is less than 0.5 pValue: 0.9993 statistic: 0.55 95% confidence interval: [0,0.5762] Test Decision: Fail to reject null in favor of alternative at 5% significance level */ ``` To test whether the success probability in the population is equal to some other value than `0.5`, set the `p` option. ```javascript var out = binomialTest( 23, 100, { 'p': 0.2 }); /* returns { 'rejected': false, 'pValue': ~0.453, 'statistic': 0.23, 'ci': [ ~0.152, ~0.325 ], // ... } */ var table = out.print(); /* e.g., returns Exact binomial test Alternative hypothesis: True correlation coefficient is not equal to 0.2 pValue: 0.4534 statistic: 0.23 95% confidence interval: [0.1517,0.3249] Test Decision: Fail to reject null in favor of alternative at 5% significance level */ ```

## Examples ```javascript var binomialTest = require( '@stdlib/stats-binomial-test' ); var out = binomialTest( 682, 925 ); /* returns { 'rejected': true, 'pValue': ~3.544e-49, 'statistic': 0.737, 'ci': [ ~0.708, ~0.765 ], // ... } */ out = binomialTest( [ 682, 925 - 682 ] ); /* returns { 'rejected': true, 'pValue': ~3.544e-49, 'statistic': 0.737, 'ci': [ ~0.708, ~0.765 ], // ... } */ out = binomialTest( 682, 925, { 'p': 0.75, 'alpha': 0.05 }); /* returns { 'rejected': false, 'pValue': ~0.382 'statistic': 0.737, 'ci': [ ~0.708, ~0.765 ], // ... } */ out = binomialTest( 21, 40, { 'p': 0.4, 'alternative': 'greater' }); /* returns { 'rejected': false, 'pValue': ~0.382, 'statistic': 0.737, 'ci': [ ~0.385, 1.0 ], // ... } */ ```

* * * ## Notice This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more. For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib]. #### Community [![Chat][chat-image]][chat-url] --- ## License See [LICENSE][stdlib-license]. ## Copyright Copyright © 2016-2025. The Stdlib [Authors][stdlib-authors].

Owner

Name: stdlib
Login: stdlib-js
Kind: organization

Website: https://stdlib.io
Twitter: stdlibjs
Repositories: 3,692
Profile: https://github.com/stdlib-js

Standard library for JavaScript.

Citation (CITATION.cff)

cff-version: 1.2.0
title: stdlib
message: >-
  If you use this software, please cite it using the
  metadata from this file.

type: software

authors:
  - name: The Stdlib Authors
    url: https://github.com/stdlib-js/stdlib/graphs/contributors

repository-code: https://github.com/stdlib-js/stdlib
url: https://stdlib.io

abstract: |
  Standard library for JavaScript and Node.js.

keywords:
  - JavaScript
  - Node.js
  - TypeScript
  - standard library
  - scientific computing
  - numerical computing
  - statistical computing

license: Apache-2.0 AND BSL-1.0

date-released: 2016

GitHub Events

Total

Push event: 28

Last Year

Push event: 28

Committers

Last synced: about 2 years ago

All Time

Total Commits: 45
Total Committers: 1
Avg Commits per committer: 45.0
Development Distribution Score (DDS): 0.0

Past Year

Commits: 9
Committers: 1
Avg Commits per committer: 9.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
stdlib-bot	n**y@s**o	45

Committer Domains (Top 20 + Academic)

stdlib.io: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 0
Total pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Total issue authors: 0
Total pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 0
Pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 0
Pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

Total packages: 1
Total downloads:
- npm 32,335 last-month
Total docker downloads: 24

Total dependent packages: 2
Total dependent repositories: 0
Total versions: 11
Total maintainers: 4

npmjs.org: @stdlib/stats-binomial-test

Exact test for the success probability in a Bernoulli experiment.

Homepage: https://stdlib.io
License: Apache-2.0
Latest release: 0.2.2
published over 1 year ago

Versions: 11
Dependent Packages: 2
Dependent Repositories: 0
Downloads: 32,335 Last month
Docker Downloads: 24

Rankings

Downloads: 4.9%

Dependent packages count: 9.5%

Average: 14.8%

Stargazers count: 16.8%

Forks count: 17.4%

Dependent repos count: 25.3%

Maintainers (4)

planeshifter rreusser stdlib-bot kgryte

Funding

type: opencollective
url: https://opencollective.com/stdlib

Last synced: 6 months ago

Dependencies

test/fixtures/r/DESCRIPTION cran

R >=3.4.0 depends
jsonlite * imports

package.json npm

@stdlib/assert-contains ^0.0.x development
@stdlib/assert-is-object ^0.0.x development
@stdlib/bench ^0.0.x development
@stdlib/constants-float64-eps ^0.0.x development
@stdlib/math-base-special-abs ^0.0.x development
@stdlib/random-base-discrete-uniform ^0.0.x development
istanbul ^0.4.1 development
tap-spec 5.x.x development
tape git+https://github.com/kgryte/tape.git#fix/globby development
@stdlib/assert-has-own-property ^0.0.x
@stdlib/assert-is-boolean ^0.0.x
@stdlib/assert-is-nan ^0.0.x
@stdlib/assert-is-nonnegative-integer ^0.0.x
@stdlib/assert-is-number ^0.0.x
@stdlib/assert-is-number-array ^0.0.x
@stdlib/assert-is-plain-object ^0.0.x
@stdlib/assert-is-positive-integer ^0.0.x
@stdlib/assert-is-string ^0.0.x
@stdlib/math-base-special-ceil ^0.0.x
@stdlib/math-base-special-floor ^0.0.x
@stdlib/math-base-special-roundn ^0.0.x
@stdlib/stats-base-dists-beta-quantile ^0.0.x
@stdlib/stats-base-dists-binomial-cdf ^0.0.x
@stdlib/stats-base-dists-binomial-pmf ^0.0.x
@stdlib/string-format ^0.0.x
@stdlib/utils-define-read-only-property ^0.0.x

.github/workflows/benchmark.yml actions

actions/checkout v3 composite
actions/setup-node v3 composite

.github/workflows/cancel.yml actions

styfle/cancel-workflow-action 0.11.0 composite

.github/workflows/close_pull_requests.yml actions

superbrothers/close-pull-request v3 composite

.github/workflows/examples.yml actions

actions/checkout v3 composite
actions/setup-node v3 composite

.github/workflows/npm_downloads.yml actions

actions/checkout v3 composite
actions/setup-node v3 composite
actions/upload-artifact v3 composite
distributhor/workflow-webhook v3 composite

.github/workflows/productionize.yml actions

act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite
stdlib-js/bundle-action main composite
stdlib-js/transform-errors-action main composite

.github/workflows/publish.yml actions

JS-DevTools/npm-publish v1 composite
act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite
styfle/cancel-workflow-action 0.11.0 composite

.github/workflows/test.yml actions

act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite

.github/workflows/test_bundles.yml actions

act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite
denoland/setup-deno v1 composite

.github/workflows/test_coverage.yml actions

act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite
codecov/codecov-action v3 composite
distributhor/workflow-webhook v3 composite

.github/workflows/test_install.yml actions

act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite

@stdlib/stats-binomial-test

Science Score: 44.0%

Keywords

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

Binomial Test

Owner

Citation (CITATION.cff)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

npmjs.org: @stdlib/stats-binomial-test

Rankings

Maintainers (4)

Funding

Dependencies