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.
Installing
You can use PyPi to do so,
pip install intraCorr
Contributing
You can contribute to this project by forking it through github.
Licensing
The code in this project is licensed under GNU General Public License v3.0.
Authors
- Erika Munoz
- Jose Nandez
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
intraCorr-0.0.3.tar.gz
(3.5 kB
view hashes)
Built Distribution
intraCorr-0.0.3-py3-none-any.whl
(16.1 kB
view hashes)
Close
Hashes for intraCorr-0.0.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3f3401fb2966f24b768e57e3c62344a359c30e6f9b31ecf4d49b45e0b0af73a7 |
|
MD5 | 3d260ebba1eda3d425fd9441e6f0437b |
|
BLAKE2b-256 | f20aeed0436edbf481c22f7383616dda5ff62a2dc2a0e8a24907dbac3a171954 |