Skip to main content

'One-Dimensional Random Field Theory

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rft1d-0.2.5.tar.gz (88.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rft1d-0.2.5-py3-none-any.whl (86.4 kB view details)

Uploaded Python 3

File details

Details for the file rft1d-0.2.5.tar.gz.

File metadata

  • Download URL: rft1d-0.2.5.tar.gz
  • Upload date:
  • Size: 88.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.23

File hashes

Hashes for rft1d-0.2.5.tar.gz
Algorithm Hash digest
SHA256 e4c23d61d23bc7affb6295264519ca9f74f37895b83e610ad3fa69972d2ce1d7
MD5 1164a79536a00702757ba4487f5f3e7b
BLAKE2b-256 7211ed19badf6784656fa3eeb6676c091d8c4c5767a4c36e0fbada0544d18723

See more details on using hashes here.

File details

Details for the file rft1d-0.2.5-py3-none-any.whl.

File metadata

  • Download URL: rft1d-0.2.5-py3-none-any.whl
  • Upload date:
  • Size: 86.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.23

File hashes

Hashes for rft1d-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 c47c5b972897497096affceeede0c1592826165b584e1e09ff95c31938e80972
MD5 81cafdf99b58efbfa5839198ea3a2973
BLAKE2b-256 f06032438b6d3c5e8f569159db91fd1fd3a77327739bd8f37e87e0e23c4f3bb8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page