FitLins is a tool for estimating linear models, defined by the BIDS Stats-Models specification proposal, to BIDS-formatted datasets.
FitLins is developed against fMRIPrep-preprocessed datasets, but is intended to work with any dataset following the BIDS Derivatives draft specification.
Example models can be found in examples/models in the main repository and FitLins Example Models in the documentation.
This pipeline is developed by the Poldrack lab at Stanford University for use at the Center for Reproducible Neuroscience (CRN), as well as for open-source software distribution.
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Release files for fitlins 0.11.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fitlins-0.11.0.tar.gz | 1.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fitlins-0.11.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.2 MB
Release files / fitlins-0.11.0.tar.gz
| Download URL | fitlins-0.11.0.tar.gz |
|---|---|
| Size | 1.1 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.1 CPython/3.9.15
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Release files / fitlins-0.11.0-py3-none-any.whl
| Download URL | fitlins-0.11.0-py3-none-any.whl |
|---|---|
| Size | 1.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
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