rft1d

One-Dimensional Random Field Theory in Python

https://github.com/0todd0000/rft1d

Science Score: 39.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.7%) to scientific vocabulary

Keywords

functional-data-analysis hypothesis-testing probability statistical-methods statistics time-series
Last synced: 6 months ago · JSON representation

Repository

One-Dimensional Random Field Theory in Python

Basic Info
  • Host: GitHub
  • Owner: 0todd0000
  • License: gpl-3.0
  • Language: Python
  • Default Branch: master
  • Homepage: https://spm1d.org/rft1d/
  • Size: 14.2 MB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 3
  • Open Issues: 0
  • Releases: 0
Topics
functional-data-analysis hypothesis-testing probability statistical-methods statistics time-series
Created almost 11 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License Code of conduct

README.md

Python Numpy Scipy License: GPL v3 version downloads

rft1d

One-Dimensional Random Field Theory in Python.

rft1d is a Python package for exploring and validating Random Field Theory (RFT) expectations regarding upcrossings in univariate and multivariate 1D continua. These expectations can be used to make statistical inferences regarding signals observed in experimentally measured 1D continua including scalar and vector time series.

Please cite:

Pataky TC (2016) RFT1D: Smooth One-Dimensional Random Field Upcrossing Probabilities in Python. Journal of Statistical Software 71(7): 1-22. https://doi.org/10.18637/jss.v071.i07

Documentation is available at: www.spm1d.org/rft1d

Issues

Please report software bugs or other problems by searching existing issues or creating a new issue here.

Owner

  • Name: Todd Pataky
  • Login: 0todd0000
  • Kind: user
  • Location: Kyoto, Japan
  • Company: Kyoto University

GitHub Events

Total
  • Delete event: 1
  • Push event: 2
  • Pull request event: 1
  • Create event: 1
Last Year
  • Delete event: 1
  • Push event: 2
  • Pull request event: 1
  • Create event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 51
  • Total Committers: 2
  • Avg Commits per committer: 25.5
  • Development Distribution Score (DDS): 0.353
Past Year
  • Commits: 41
  • Committers: 2
  • Avg Commits per committer: 20.5
  • Development Distribution Score (DDS): 0.439
Top Committers
Name Email Commits
Todd Pataky 0****0@g****m 33
Todd Pataky t****d@t****n 18
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 2
  • Total pull requests: 5
  • Average time to close issues: 11 months
  • Average time to close pull requests: over 1 year
  • Total issue authors: 2
  • Total pull request authors: 2
  • Average comments per issue: 7.5
  • Average comments per pull request: 0.2
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • rupsabasu2020 (1)
  • lele394 (1)
Pull Request Authors
  • 0todd0000 (4)
  • melund (2)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 118 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 2
  • Total versions: 9
  • Total maintainers: 1
pypi.org: rft1d

'One-Dimensional Random Field Theory

  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 118 Last month
Rankings
Dependent packages count: 10.1%
Dependent repos count: 11.6%
Forks count: 16.9%
Average: 17.7%
Downloads: 24.8%
Stargazers count: 25.1%
Maintainers (1)
Last synced: 6 months ago

Dependencies

.github/workflows/push-test-pypi.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v1 composite
  • pypa/gh-action-pypi-publish master composite
pyproject.toml pypi
  • matplotlib *
  • numpy *
  • scipy *