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

One-Dimensional Random Field Theory in Python
https://github.com/0todd0000/rft1d

functional-data-analysis hypothesis-testing probability statistical-methods statistics time-series

Last synced: 29 days ago
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One-Dimensional Random Field Theory in Python

• Host: GitHub
• URL: https://github.com/0todd0000/rft1d
• Owner: 0todd0000
• License: gpl-3.0
• Created: 2015-04-26T07:05:33.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2025-10-07T13:52:33.000Z (4 months ago)
• Last Synced: 2025-10-08T14:59:48.807Z (4 months ago)
• Topics: functional-data-analysis, hypothesis-testing, probability, statistical-methods, statistics, time-series
• Language: Python
• Homepage: https://spm1d.org/rft1d/
• Size: 14.2 MB
• Stars: 3
• Watchers: 1
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt
  • Code of conduct: CODE_OF_CONDUCT.md

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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](http://spm1d.org/rft1d)

Issues

------

Please report software bugs or other problems by searching existing issues or creating a new issue [here](https://github.com/0todd0000/rft1d/issues).