Skip to main content
Python Software Foundation 20th Year Anniversary Fundraiser  Donate today!

This package calculates the correlation within subjects for repeated observations

Project description

Correlation for Repeated Observation within Subjects in Python

This package applied the statistical technique for estimating the correlation for paired measures assessed on two or more ocassions for multiple subjects. Pearson correlation is applied when each paired of measurements is independent of one another. This is not the case when you have an observation for the same subject at different times.


You can use PyPi to do so,

pip install intraCorr


You can contribute to this project by forking it through github.


The code in this project is licensed under GNU General Public License v3.0.


  • Erika Munoz
  • Jose Nandez

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for intraCorr, version 0.0.3
Filename, size File type Python version Upload date Hashes
Filename, size intraCorr-0.0.3-py3-none-any.whl (16.1 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size intraCorr-0.0.3.tar.gz (3.5 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page