fitgrid
fitgrid: A Python package for multi-channel event-related time series regression modeling - Published in JOSS (2021)
Science Score: 95.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in JOSS metadata -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
4 of 5 committers (80.0%) from academic institutions -
○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Repository
Multichannel event-related time-series regression modeling for EEG, MEG, and sensor array data
Basic Info
- Host: GitHub
- Owner: kutaslab
- License: bsd-3-clause
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://kutaslab.github.io/fitgrid
- Size: 124 MB
Statistics
- Stars: 8
- Watchers: 3
- Forks: 4
- Open Issues: 8
- Releases: 26
Topics
Metadata Files
README.md
fitgrid
A Python library for regression modeling time-varying patterns of activity in sensor-array data streams on a 2-D grid.
We gratefully acknowledge the support of grant NICHD 5R01HD022614 for the development of these routines.
Documentation
User guide, installation instructions, workflow and usage examples are available here.
Demo
Click this button to launch a demo notebook:
Owner
- Name: Kutas Cognitive Electrophysiology Lab
- Login: kutaslab
- Kind: organization
- Website: kutaslab.github.io
- Repositories: 8
- Profile: https://github.com/kutaslab
JOSS Publication
fitgrid: A Python package for multi-channel event-related time series regression modeling
Authors
Department of Cognitive Science, University of California, San Diego
Department of Cognitive Science, University of California, San Diego
Editor
Marie E. Rognes
Tags
Python EEG electroencephalography MEG magnetoencephalography ERP rERP linear regression ordinary least squares linear mixed-effects exploratory data analysis EDAGitHub Events
Total
- Issues event: 1
Last Year
- Issues event: 1
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Andrey Portnoy | a****y@u****u | 272 |
| Tom Urbach | t****h@u****u | 244 |
| Lauren | l****o@m****u | 11 |
| Stefan Appelhoff | s****f@m****g | 2 |
| Andrey Portnoy | a****y@a****u | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 39
- Total pull requests: 61
- Average time to close issues: 5 months
- Average time to close pull requests: 3 days
- Total issue authors: 6
- Total pull request authors: 3
- Average comments per issue: 2.36
- Average comments per pull request: 0.75
- Merged pull requests: 56
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- turbach (17)
- andportnoy (9)
- sappelhoff (5)
- AJQuinn (4)
- astoermann (2)
- eprovenz (2)
Pull Request Authors
- turbach (45)
- andportnoy (13)
- sappelhoff (3)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 48 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 22
- Total maintainers: 2
pypi.org: fitgrid
Mass multiple regression manager
- Homepage: https://github.com/kutaslab/fitgrid
- Documentation: https://fitgrid.readthedocs.io/
- License: BSD License
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Latest release: 0.5.0
published over 4 years ago
Rankings
Dependencies
- actions/checkout v2 composite