This repo contains Python implementations of methods described in the following:
Dynamics of event‐related causality in brain electrical activity (Korzeniewska et al. 2008) https://doi.org/10.1002/hbm.20458
The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference (Barnett and Seth 2014) https://doi.org/10.1016/j.jneumeth.2013.10.018
Metadata
Release files for causalty 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| causalty-0.0.1.tar.gz | 2.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| causalty-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.0 kB
Release files / causalty-0.0.1.tar.gz
| Download URL | causalty-0.0.1.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2
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Release files / causalty-0.0.1-py3-none-any.whl
| Download URL | causalty-0.0.1-py3-none-any.whl |
|---|---|
| Size | 16.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2
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