Pre-release
This release is a pre-release and may not be stable for production use.
ddmra
Code for running distance-dependent motion-related artifact analyses in Python
We've chosen to model our DDMRA approach off of the analyses performed in Power et al. (2018), with some changes.
Example results
3 maintainers
Metadata
3 maintainers
Release files for ddmra 0.0.1a0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ddmra-0.0.1a0.tar.gz | 18.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ddmra-0.0.1a0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 46.6 kB
Release files / ddmra-0.0.1a0.tar.gz
| Download URL | ddmra-0.0.1a0.tar.gz |
|---|---|
| Size | 18.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.8.5
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Release files / ddmra-0.0.1a0-py3-none-any.whl
| Download URL | ddmra-0.0.1a0-py3-none-any.whl |
|---|---|
| Size | 28.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.8.5
|
