pymdea
Modified diffusion entropy analysis. Time-series analysis technique developed by the Center for Nonlinear Science at the University of North Texas
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.9%) to scientific vocabulary
Keywords
Repository
Modified diffusion entropy analysis. Time-series analysis technique developed by the Center for Nonlinear Science at the University of North Texas
Basic Info
- Host: GitHub
- Owner: garland-culbreth
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://garland-culbreth.github.io/pymdea/
- Size: 4.4 MB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 2
- Open Issues: 2
- Releases: 5
Topics
Metadata Files
README.md
Diffusion entropy analysis
Diffusion Entropy Analysis is a time-series analysis method for detecting temporal scaling in a data set, such as particle motion, a seismograph, or an electroencephalograph signal. Diffusion Entropy Analysis converts a timeseries into a diffusion trajectory and uses the entropy of this trajectory to measure the temporal scaling in the data. This is accomplished by moving a window along the trajectory, then using the relationship between the natural logarithm of the length of the window and the Shannon entropy to extract the scaling of the time-series process.
For further details about the method and how it works, please see Culbreth, G., Baxley, J. and Lambert, D., 2023. Detecting temporal scaling with modified diffusion entropy analysis. arXiv preprint arXiv:2311.11453.
Installation and use
The pymdea package is available on pypi and can be installed with uv:
bash
uv add pymdea
or with pip:
bash
pip install pymdea
A user guide is available in the documentation.
Built with
Owner
- Name: Garland Culbreth
- Login: garland-culbreth
- Kind: user
- Location: Seattle, WA
- Company: Institute for Health Metrics and Evaluation, University of Washington
- Repositories: 2
- Profile: https://github.com/garland-culbreth
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Culbreth
given-names: Garland
orcid: https://orcid.org/0000-0002-3096-4834
- family-names: Baxley
given-names: Jacob
orcid: https://orcid.org/0000-0003-0782-5454
- family-names: Lambert
given-names: David
orcid: https://orcid.org/0000-0001-6384-3214
title: "pymdea"
version: 0.1.0
doi: 10.48550/arXiv.2311.11453
date-released: 2024-08-30
url: "https://garland-culbreth.github.io/pymdea/"
GitHub Events
Total
- Release event: 5
- Watch event: 2
- Delete event: 26
- Issue comment event: 2
- Push event: 53
- Pull request event: 46
- Create event: 32
Last Year
- Release event: 5
- Watch event: 2
- Delete event: 26
- Issue comment event: 2
- Push event: 53
- Pull request event: 46
- Create event: 32
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 23
- Average time to close issues: N/A
- Average time to close pull requests: 7 minutes
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 18
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 23
- Average time to close issues: N/A
- Average time to close pull requests: 7 minutes
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 18
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- garland-culbreth (40)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 136 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 9
- Total maintainers: 1
pypi.org: pymdea
Modified diffusion entropy analysis; a temporal complexity analysis method
- Documentation: https://garland-culbreth.github.io/pymdea
- License: MIT License Copyright (c) 2023 Garland Culbreth Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Latest release: 0.5.0
published 8 months ago