Skip to content

Repository files navigation

hyppo

CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors

hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:

  • With the increase in the amount of data in many fields, hypothesis testing for high-dimensional and nonlinear data is important.
  • Libraries in R exist, but their interfaces are inconsistent, and most are not available in Python.

hyppo intends to be a comprehensive multivariate hypothesis testing package that runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!

Website: https://hyppo.neurodata.io/

Installation

Dependencies

hyppo requires the following:

User installation

The easiest way to install hyppo is using pip.

pip install hyppo

To upgrade to a newer release, use the --upgrade flag.

pip install --upgrade hyppo

The documentation includes more detailed installation instructions. hyppo is free software; you can redistribute it and/or modify it under the terms of the license.

Release Notes

See the release notes for a history of notable changes to hyppo.

Development

We welcome new contributors of all experience levels. The hyppo community's goals are to be helpful, welcoming, and effective. The contributor guide has detailed information about contributing code, documentation, and tests.

Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication codes there, and we will add relevant tests (with tutorials) to hyppo.

Contributors

Thanks goes to these wonderful people (emoji key):

Sambit Panda
Sambit Panda

🐛💻📖🤔🚧👀
cshen6
cshen6

🤔
joshua vogelstein
joshua vogelstein

🔍🧑‍🏫🤔
Satish Palaniappan
Satish Palaniappan

💻🤔
Junhao Xiong
Junhao Xiong

💻🤔
Eric Bridgeford
Eric Bridgeford

🐛🤔
Ronak D. Mehta
Ronak D. Mehta

💻🤔
Jaewon Chung
Jaewon Chung

🐛💻📖
Jayanta Dey
Jayanta Dey

💻
Bijan Varjavand
Bijan Varjavand

💻
Benjamin Pedigo
Benjamin Pedigo

🐛💻
alyakin314
alyakin314

💻🤔
Vivek Gopalakrishnan
Vivek Gopalakrishnan

💻
Ronan Perry
Ronan Perry

🐛💻🤔👀📖
Haoyin Xu
Haoyin Xu

💻📖👀
Hadas Arik
Hadas Arik

💻
kareef928
kareef928

💻
Verathagnus
Verathagnus

💻
dlee0156
dlee0156

💻
Najmieh Sadat Safarabadi
Najmieh Sadat Safarabadi

📖
TacticalFallacy
TacticalFallacy

💻
darsh-patel
darsh-patel

💻
zdbzdb123123
zdbzdb123123

💻
MatthewZhao26
MatthewZhao26

💻
Alexander Oakley
Alexander Oakley

📖
Harsh Gupta
Harsh Gupta

📖
Prabhat Kr. Gupta
Prabhat Kr. Gupta

🐛
Victoria Shevchenko
Victoria Shevchenko

💻
saivythik
saivythik

📖🐛
Shruti Naik
Shruti Naik

📖
Praveen Prasad
Praveen Prasad

📖
Jennifer Tam
Jennifer Tam

📖
PoojaMandal
PoojaMandal

📖
Satarupa Deb
Satarupa Deb

📖
Alex1-ai
Alex1-ai

📖

This project follows the all-contributors specification. Contributions of any kind are welcome!

Project History

hyppo is a rebranding of mgcpy, which was founded in November 2018. mgcpy was designed and written by Satish Palaniappan, Sambit Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo was designed and written by Sambit Panda and first released in February 2020.

About

Python package for multivariate hypothesis testing

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - quant12345/hyppo: Python package for multivariate hypothesis testing · GitHub
Skip to content

Repository files navigation

hyppo

CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors

hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:

  • With the increase in the amount of data in many fields, hypothesis testing for high-dimensional and nonlinear data is important.
  • Libraries in R exist, but their interfaces are inconsistent, and most are not available in Python.

hyppo intends to be a comprehensive multivariate hypothesis testing package that runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!

Website: https://hyppo.neurodata.io/

Installation

Dependencies

hyppo requires the following:

User installation

The easiest way to install hyppo is using pip.

pip install hyppo

To upgrade to a newer release, use the --upgrade flag.

pip install --upgrade hyppo

The documentation includes more detailed installation instructions. hyppo is free software; you can redistribute it and/or modify it under the terms of the license.

Release Notes

See the release notes for a history of notable changes to hyppo.

Development

We welcome new contributors of all experience levels. The hyppo community's goals are to be helpful, welcoming, and effective. The contributor guide has detailed information about contributing code, documentation, and tests.

Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication codes there, and we will add relevant tests (with tutorials) to hyppo.

Contributors

Thanks goes to these wonderful people (emoji key):

Sambit Panda
Sambit Panda

🐛💻📖🤔🚧👀
cshen6
cshen6

🤔
joshua vogelstein
joshua vogelstein

🔍🧑‍🏫🤔
Satish Palaniappan
Satish Palaniappan

💻🤔
Junhao Xiong
Junhao Xiong

💻🤔
Eric Bridgeford
Eric Bridgeford

🐛🤔
Ronak D. Mehta
Ronak D. Mehta

💻🤔
Jaewon Chung
Jaewon Chung

🐛💻📖
Jayanta Dey
Jayanta Dey

💻
Bijan Varjavand
Bijan Varjavand

💻
Benjamin Pedigo
Benjamin Pedigo

🐛💻
alyakin314
alyakin314

💻🤔
Vivek Gopalakrishnan
Vivek Gopalakrishnan

💻
Ronan Perry
Ronan Perry

🐛💻🤔👀📖
Haoyin Xu
Haoyin Xu

💻📖👀
Hadas Arik
Hadas Arik

💻
kareef928
kareef928

💻
Verathagnus
Verathagnus

💻
dlee0156
dlee0156

💻
Najmieh Sadat Safarabadi
Najmieh Sadat Safarabadi

📖
TacticalFallacy
TacticalFallacy

💻
darsh-patel
darsh-patel

💻
zdbzdb123123
zdbzdb123123

💻
MatthewZhao26
MatthewZhao26

💻
Alexander Oakley
Alexander Oakley

📖
Harsh Gupta
Harsh Gupta

📖
Prabhat Kr. Gupta
Prabhat Kr. Gupta

🐛
Victoria Shevchenko
Victoria Shevchenko

💻
saivythik
saivythik

📖🐛
Shruti Naik
Shruti Naik

📖
Praveen Prasad
Praveen Prasad

📖
Jennifer Tam
Jennifer Tam

📖
PoojaMandal
PoojaMandal

📖
Satarupa Deb
Satarupa Deb

📖
Alex1-ai
Alex1-ai

📖

This project follows the all-contributors specification. Contributions of any kind are welcome!

Project History

hyppo is a rebranding of mgcpy, which was founded in November 2018. mgcpy was designed and written by Satish Palaniappan, Sambit Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo was designed and written by Sambit Panda and first released in February 2020.

About

Python package for multivariate hypothesis testing

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - quant12345/hyppo: Python package for multivariate hypothesis testing · GitHub
Skip to content

Repository files navigation

hyppo

CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors

hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:

  • With the increase in the amount of data in many fields, hypothesis testing for high-dimensional and nonlinear data is important.
  • Libraries in R exist, but their interfaces are inconsistent, and most are not available in Python.

hyppo intends to be a comprehensive multivariate hypothesis testing package that runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!

Website: https://hyppo.neurodata.io/

Installation

Dependencies

hyppo requires the following:

User installation

The easiest way to install hyppo is using pip.

pip install hyppo

To upgrade to a newer release, use the --upgrade flag.

pip install --upgrade hyppo

The documentation includes more detailed installation instructions. hyppo is free software; you can redistribute it and/or modify it under the terms of the license.

Release Notes

See the release notes for a history of notable changes to hyppo.

Development

We welcome new contributors of all experience levels. The hyppo community's goals are to be helpful, welcoming, and effective. The contributor guide has detailed information about contributing code, documentation, and tests.

Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication codes there, and we will add relevant tests (with tutorials) to hyppo.

Contributors

Thanks goes to these wonderful people (emoji key):

Sambit Panda
Sambit Panda

🐛💻📖🤔🚧👀
cshen6
cshen6

🤔
joshua vogelstein
joshua vogelstein

🔍🧑‍🏫🤔
Satish Palaniappan
Satish Palaniappan

💻🤔
Junhao Xiong
Junhao Xiong

💻🤔
Eric Bridgeford
Eric Bridgeford

🐛🤔
Ronak D. Mehta
Ronak D. Mehta

💻🤔
Jaewon Chung
Jaewon Chung

🐛💻📖
Jayanta Dey
Jayanta Dey

💻
Bijan Varjavand
Bijan Varjavand

💻
Benjamin Pedigo
Benjamin Pedigo

🐛💻
alyakin314
alyakin314

💻🤔
Vivek Gopalakrishnan
Vivek Gopalakrishnan

💻
Ronan Perry
Ronan Perry

🐛💻🤔👀📖
Haoyin Xu
Haoyin Xu

💻📖👀
Hadas Arik
Hadas Arik

💻
kareef928
kareef928

💻
Verathagnus
Verathagnus

💻
dlee0156
dlee0156

💻
Najmieh Sadat Safarabadi
Najmieh Sadat Safarabadi

📖
TacticalFallacy
TacticalFallacy

💻
darsh-patel
darsh-patel

💻
zdbzdb123123
zdbzdb123123

💻
MatthewZhao26
MatthewZhao26

💻
Alexander Oakley
Alexander Oakley

📖
Harsh Gupta
Harsh Gupta

📖
Prabhat Kr. Gupta
Prabhat Kr. Gupta

🐛
Victoria Shevchenko
Victoria Shevchenko

💻
saivythik
saivythik

📖🐛
Shruti Naik
Shruti Naik

📖
Praveen Prasad
Praveen Prasad

📖
Jennifer Tam
Jennifer Tam

📖
PoojaMandal
PoojaMandal

📖
Satarupa Deb
Satarupa Deb

📖
Alex1-ai
Alex1-ai

📖

This project follows the all-contributors specification. Contributions of any kind are welcome!

Project History

hyppo is a rebranding of mgcpy, which was founded in November 2018. mgcpy was designed and written by Satish Palaniappan, Sambit Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo was designed and written by Sambit Panda and first released in February 2020.

About

Python package for multivariate hypothesis testing

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - quant12345/hyppo: Python package for multivariate hypothesis testing · GitHub
Skip to content

Repository files navigation

hyppo

CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors

hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:

  • With the increase in the amount of data in many fields, hypothesis testing for high-dimensional and nonlinear data is important.
  • Libraries in R exist, but their interfaces are inconsistent, and most are not available in Python.

hyppo intends to be a comprehensive multivariate hypothesis testing package that runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!

Website: https://hyppo.neurodata.io/

Installation

Dependencies

hyppo requires the following:

User installation

The easiest way to install hyppo is using pip.

pip install hyppo

To upgrade to a newer release, use the --upgrade flag.

pip install --upgrade hyppo

The documentation includes more detailed installation instructions. hyppo is free software; you can redistribute it and/or modify it under the terms of the license.

Release Notes

See the release notes for a history of notable changes to hyppo.

Development

We welcome new contributors of all experience levels. The hyppo community's goals are to be helpful, welcoming, and effective. The contributor guide has detailed information about contributing code, documentation, and tests.

Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication codes there, and we will add relevant tests (with tutorials) to hyppo.

Contributors

Thanks goes to these wonderful people (emoji key):

Sambit Panda
Sambit Panda

🐛💻📖🤔🚧👀
cshen6
cshen6

🤔
joshua vogelstein
joshua vogelstein

🔍🧑‍🏫🤔
Satish Palaniappan
Satish Palaniappan

💻🤔
Junhao Xiong
Junhao Xiong

💻🤔
Eric Bridgeford
Eric Bridgeford

🐛🤔
Ronak D. Mehta
Ronak D. Mehta

💻🤔
Jaewon Chung
Jaewon Chung

🐛💻📖
Jayanta Dey
Jayanta Dey

💻
Bijan Varjavand
Bijan Varjavand

💻
Benjamin Pedigo
Benjamin Pedigo

🐛💻
alyakin314
alyakin314

💻🤔
Vivek Gopalakrishnan
Vivek Gopalakrishnan

💻
Ronan Perry
Ronan Perry

🐛💻🤔👀📖
Haoyin Xu
Haoyin Xu

💻📖👀
Hadas Arik
Hadas Arik

💻
kareef928
kareef928

💻
Verathagnus
Verathagnus

💻
dlee0156
dlee0156

💻
Najmieh Sadat Safarabadi
Najmieh Sadat Safarabadi

📖
TacticalFallacy
TacticalFallacy

💻
darsh-patel
darsh-patel

💻
zdbzdb123123
zdbzdb123123

💻
MatthewZhao26
MatthewZhao26

💻
Alexander Oakley
Alexander Oakley

📖
Harsh Gupta
Harsh Gupta

📖
Prabhat Kr. Gupta
Prabhat Kr. Gupta

🐛
Victoria Shevchenko
Victoria Shevchenko

💻
saivythik
saivythik

📖🐛
Shruti Naik
Shruti Naik

📖
Praveen Prasad
Praveen Prasad

📖
Jennifer Tam
Jennifer Tam

📖
PoojaMandal
PoojaMandal

📖
Satarupa Deb
Satarupa Deb

📖
Alex1-ai
Alex1-ai

📖

This project follows the all-contributors specification. Contributions of any kind are welcome!

Project History

hyppo is a rebranding of mgcpy, which was founded in November 2018. mgcpy was designed and written by Satish Palaniappan, Sambit Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo was designed and written by Sambit Panda and first released in February 2020.

About

Python package for multivariate hypothesis testing

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - quant12345/hyppo: Python package for multivariate hypothesis testing · GitHub
Skip to content

Repository files navigation

hyppo

CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors

hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:

  • With the increase in the amount of data in many fields, hypothesis testing for high-dimensional and nonlinear data is important.
  • Libraries in R exist, but their interfaces are inconsistent, and most are not available in Python.

hyppo intends to be a comprehensive multivariate hypothesis testing package that runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!

Website: https://hyppo.neurodata.io/

Installation

Dependencies

hyppo requires the following:

User installation

The easiest way to install hyppo is using pip.

pip install hyppo

To upgrade to a newer release, use the --upgrade flag.

pip install --upgrade hyppo

The documentation includes more detailed installation instructions. hyppo is free software; you can redistribute it and/or modify it under the terms of the license.

Release Notes

See the release notes for a history of notable changes to hyppo.

Development

We welcome new contributors of all experience levels. The hyppo community's goals are to be helpful, welcoming, and effective. The contributor guide has detailed information about contributing code, documentation, and tests.

Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication codes there, and we will add relevant tests (with tutorials) to hyppo.

Contributors

Thanks goes to these wonderful people (emoji key):

Sambit Panda
Sambit Panda

🐛💻📖🤔🚧👀
cshen6
cshen6

🤔
joshua vogelstein
joshua vogelstein

🔍🧑‍🏫🤔
Satish Palaniappan
Satish Palaniappan

💻🤔
Junhao Xiong
Junhao Xiong

💻🤔
Eric Bridgeford
Eric Bridgeford

🐛🤔
Ronak D. Mehta
Ronak D. Mehta

💻🤔
Jaewon Chung
Jaewon Chung

🐛💻📖
Jayanta Dey
Jayanta Dey

💻
Bijan Varjavand
Bijan Varjavand

💻
Benjamin Pedigo
Benjamin Pedigo

🐛💻
alyakin314
alyakin314

💻🤔
Vivek Gopalakrishnan
Vivek Gopalakrishnan

💻
Ronan Perry
Ronan Perry

🐛💻🤔👀📖
Haoyin Xu
Haoyin Xu

💻📖👀
Hadas Arik
Hadas Arik

💻
kareef928
kareef928

💻
Verathagnus
Verathagnus

💻
dlee0156
dlee0156

💻
Najmieh Sadat Safarabadi
Najmieh Sadat Safarabadi

📖
TacticalFallacy
TacticalFallacy

💻
darsh-patel
darsh-patel

💻
zdbzdb123123
zdbzdb123123

💻
MatthewZhao26
MatthewZhao26

💻
Alexander Oakley
Alexander Oakley

📖
Harsh Gupta
Harsh Gupta

📖
Prabhat Kr. Gupta
Prabhat Kr. Gupta

🐛
Victoria Shevchenko
Victoria Shevchenko

💻
saivythik
saivythik

📖🐛
Shruti Naik
Shruti Naik

📖
Praveen Prasad
Praveen Prasad

📖
Jennifer Tam
Jennifer Tam

📖
PoojaMandal
PoojaMandal

📖
Satarupa Deb
Satarupa Deb

📖
Alex1-ai
Alex1-ai

📖

This project follows the all-contributors specification. Contributions of any kind are welcome!

Project History

hyppo is a rebranding of mgcpy, which was founded in November 2018. mgcpy was designed and written by Satish Palaniappan, Sambit Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo was designed and written by Sambit Panda and first released in February 2020.

About

Python package for multivariate hypothesis testing

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - quant12345/hyppo: Python package for multivariate hypothesis testing · GitHub
Skip to content

Repository files navigation

hyppo

CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors

hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:

  • With the increase in the amount of data in many fields, hypothesis testing for high-dimensional and nonlinear data is important.
  • Libraries in R exist, but their interfaces are inconsistent, and most are not available in Python.

hyppo intends to be a comprehensive multivariate hypothesis testing package that runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!

Website: https://hyppo.neurodata.io/

Installation

Dependencies

hyppo requires the following:

User installation

The easiest way to install hyppo is using pip.

pip install hyppo

To upgrade to a newer release, use the --upgrade flag.

pip install --upgrade hyppo

The documentation includes more detailed installation instructions. hyppo is free software; you can redistribute it and/or modify it under the terms of the license.

Release Notes

See the release notes for a history of notable changes to hyppo.

Development

We welcome new contributors of all experience levels. The hyppo community's goals are to be helpful, welcoming, and effective. The contributor guide has detailed information about contributing code, documentation, and tests.

Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication codes there, and we will add relevant tests (with tutorials) to hyppo.

Contributors

Thanks goes to these wonderful people (emoji key):

Sambit Panda
Sambit Panda

🐛💻📖🤔🚧👀
cshen6
cshen6

🤔
joshua vogelstein
joshua vogelstein

🔍🧑‍🏫🤔
Satish Palaniappan
Satish Palaniappan

💻🤔
Junhao Xiong
Junhao Xiong

💻🤔
Eric Bridgeford
Eric Bridgeford

🐛🤔
Ronak D. Mehta
Ronak D. Mehta

💻🤔
Jaewon Chung
Jaewon Chung

🐛💻📖
Jayanta Dey
Jayanta Dey

💻
Bijan Varjavand
Bijan Varjavand

💻
Benjamin Pedigo
Benjamin Pedigo

🐛💻
alyakin314
alyakin314

💻🤔
Vivek Gopalakrishnan
Vivek Gopalakrishnan

💻
Ronan Perry
Ronan Perry

🐛💻🤔👀📖
Haoyin Xu
Haoyin Xu

💻📖👀
Hadas Arik
Hadas Arik

💻
kareef928
kareef928

💻
Verathagnus
Verathagnus

💻
dlee0156
dlee0156

💻
Najmieh Sadat Safarabadi
Najmieh Sadat Safarabadi

📖
TacticalFallacy
TacticalFallacy

💻
darsh-patel
darsh-patel

💻
zdbzdb123123
zdbzdb123123

💻
MatthewZhao26
MatthewZhao26

💻
Alexander Oakley
Alexander Oakley

📖
Harsh Gupta
Harsh Gupta

📖
Prabhat Kr. Gupta
Prabhat Kr. Gupta

🐛
Victoria Shevchenko
Victoria Shevchenko

💻
saivythik
saivythik

📖🐛
Shruti Naik
Shruti Naik

📖
Praveen Prasad
Praveen Prasad

📖
Jennifer Tam
Jennifer Tam

📖
PoojaMandal
PoojaMandal

📖
Satarupa Deb
Satarupa Deb

📖
Alex1-ai
Alex1-ai

📖

This project follows the all-contributors specification. Contributions of any kind are welcome!

Project History

hyppo is a rebranding of mgcpy, which was founded in November 2018. mgcpy was designed and written by Satish Palaniappan, Sambit Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo was designed and written by Sambit Panda and first released in February 2020.

About

Python package for multivariate hypothesis testing

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - quant12345/hyppo: Python package for multivariate hypothesis testing · GitHub
Skip to content

Repository files navigation

hyppo

CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors

hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:

  • With the increase in the amount of data in many fields, hypothesis testing for high-dimensional and nonlinear data is important.
  • Libraries in R exist, but their interfaces are inconsistent, and most are not available in Python.

hyppo intends to be a comprehensive multivariate hypothesis testing package that runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!

Website: https://hyppo.neurodata.io/

Installation

Dependencies

hyppo requires the following:

User installation

The easiest way to install hyppo is using pip.

pip install hyppo

To upgrade to a newer release, use the --upgrade flag.

pip install --upgrade hyppo

The documentation includes more detailed installation instructions. hyppo is free software; you can redistribute it and/or modify it under the terms of the license.

Release Notes

See the release notes for a history of notable changes to hyppo.

Development

We welcome new contributors of all experience levels. The hyppo community's goals are to be helpful, welcoming, and effective. The contributor guide has detailed information about contributing code, documentation, and tests.

Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication codes there, and we will add relevant tests (with tutorials) to hyppo.

Contributors

Thanks goes to these wonderful people (emoji key):

Sambit Panda
Sambit Panda

🐛💻📖🤔🚧👀
cshen6
cshen6

🤔
joshua vogelstein
joshua vogelstein

🔍🧑‍🏫🤔
Satish Palaniappan
Satish Palaniappan

💻🤔
Junhao Xiong
Junhao Xiong

💻🤔
Eric Bridgeford
Eric Bridgeford

🐛🤔
Ronak D. Mehta
Ronak D. Mehta

💻🤔
Jaewon Chung
Jaewon Chung

🐛💻📖
Jayanta Dey
Jayanta Dey

💻
Bijan Varjavand
Bijan Varjavand

💻
Benjamin Pedigo
Benjamin Pedigo

🐛💻
alyakin314
alyakin314

💻🤔
Vivek Gopalakrishnan
Vivek Gopalakrishnan

💻
Ronan Perry
Ronan Perry

🐛💻🤔👀📖
Haoyin Xu
Haoyin Xu

💻📖👀
Hadas Arik
Hadas Arik

💻
kareef928
kareef928

💻
Verathagnus
Verathagnus

💻
dlee0156
dlee0156

💻
Najmieh Sadat Safarabadi
Najmieh Sadat Safarabadi

📖
TacticalFallacy
TacticalFallacy

💻
darsh-patel
darsh-patel

💻
zdbzdb123123
zdbzdb123123

💻
MatthewZhao26
MatthewZhao26

💻
Alexander Oakley
Alexander Oakley

📖
Harsh Gupta
Harsh Gupta

📖
Prabhat Kr. Gupta
Prabhat Kr. Gupta

🐛
Victoria Shevchenko
Victoria Shevchenko

💻
saivythik
saivythik

📖🐛
Shruti Naik
Shruti Naik

📖
Praveen Prasad
Praveen Prasad

📖
Jennifer Tam
Jennifer Tam

📖
PoojaMandal
PoojaMandal

📖
Satarupa Deb
Satarupa Deb

📖
Alex1-ai
Alex1-ai

📖

This project follows the all-contributors specification. Contributions of any kind are welcome!

Project History

hyppo is a rebranding of mgcpy, which was founded in November 2018. mgcpy was designed and written by Satish Palaniappan, Sambit Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo was designed and written by Sambit Panda and first released in February 2020.

About

Python package for multivariate hypothesis testing

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); GitHub - quant12345/hyppo: Python package for multivariate hypothesis testing · GitHub
Skip to content

Repository files navigation

hyppo

CircleCICodecovNetlifyPyPI - Python VersionPyPIarXivshieldAll Contributors

hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:

  • With the increase in the amount of data in many fields, hypothesis testing for high-dimensional and nonlinear data is important.
  • Libraries in R exist, but their interfaces are inconsistent, and most are not available in Python.

hyppo intends to be a comprehensive multivariate hypothesis testing package that runs on all major versions of operating systems. It also includes novel tests not found in other packages. It is quick to install and free of charge. If you need to use multivariate hypothesis testing, be sure to give hyppo a try!

Website: https://hyppo.neurodata.io/

Installation

Dependencies

hyppo requires the following:

User installation

The easiest way to install hyppo is using pip.

pip install hyppo

To upgrade to a newer release, use the --upgrade flag.

pip install --upgrade hyppo

The documentation includes more detailed installation instructions. hyppo is free software; you can redistribute it and/or modify it under the terms of the license.

Release Notes

See the release notes for a history of notable changes to hyppo.

Development

We welcome new contributors of all experience levels. The hyppo community's goals are to be helpful, welcoming, and effective. The contributor guide has detailed information about contributing code, documentation, and tests.

Note: We have recently moved our benchmarks (with relevant figure replication code for our papers) folder to a new repo! We aim to add test development code and paper figure replication codes there, and we will add relevant tests (with tutorials) to hyppo.

Contributors

Thanks goes to these wonderful people (emoji key):

Sambit Panda
Sambit Panda

🐛💻📖🤔🚧👀
cshen6
cshen6

🤔
joshua vogelstein
joshua vogelstein

🔍🧑‍🏫🤔
Satish Palaniappan
Satish Palaniappan

💻🤔
Junhao Xiong
Junhao Xiong

💻🤔
Eric Bridgeford
Eric Bridgeford

🐛🤔
Ronak D. Mehta
Ronak D. Mehta

💻🤔
Jaewon Chung
Jaewon Chung

🐛💻📖
Jayanta Dey
Jayanta Dey

💻
Bijan Varjavand
Bijan Varjavand

💻
Benjamin Pedigo
Benjamin Pedigo

🐛💻
alyakin314
alyakin314

💻🤔
Vivek Gopalakrishnan
Vivek Gopalakrishnan

💻
Ronan Perry
Ronan Perry

🐛💻🤔👀📖
Haoyin Xu
Haoyin Xu

💻📖👀
Hadas Arik
Hadas Arik

💻
kareef928
kareef928

💻
Verathagnus
Verathagnus

💻
dlee0156
dlee0156

💻
Najmieh Sadat Safarabadi
Najmieh Sadat Safarabadi

📖
TacticalFallacy
TacticalFallacy

💻
darsh-patel
darsh-patel

💻
zdbzdb123123
zdbzdb123123

💻
MatthewZhao26
MatthewZhao26

💻
Alexander Oakley
Alexander Oakley

📖
Harsh Gupta
Harsh Gupta

📖
Prabhat Kr. Gupta
Prabhat Kr. Gupta

🐛
Victoria Shevchenko
Victoria Shevchenko

💻
saivythik
saivythik

📖🐛
Shruti Naik
Shruti Naik

📖
Praveen Prasad
Praveen Prasad

📖
Jennifer Tam
Jennifer Tam

📖
PoojaMandal
PoojaMandal

📖
Satarupa Deb
Satarupa Deb

📖
Alex1-ai
Alex1-ai

📖

This project follows the all-contributors specification. Contributions of any kind are welcome!

Project History

hyppo is a rebranding of mgcpy, which was founded in November 2018. mgcpy was designed and written by Satish Palaniappan, Sambit Panda, Junhao Xiong, Sandhya Ramachandran, and Ronak Mehtra. hyppo was designed and written by Sambit Panda and first released in February 2020.

About

Python package for multivariate hypothesis testing

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages