Skip to main content

Bayesian Model Comparison for Group Studies

Project description

Bayesian Model Comparison for Group Studies - Python Version

A Python implementation of the VBA_groupBMC function for Bayesian model selection for group studies from the VBA-toolbox by Lionel Rigoux.

See docstrings in groupBMC.py for implementation details and demo.ipynb for an example of usage.

References:

[1] Rigoux, L., Stephan, K. E., Friston, K. J., & Daunizeau, J. (2014). Bayesian model selection for group studies—revisited. NeuroImage, 84, 971-985. https://www.tnu.ethz.ch/fileadmin/user_upload/documents/Publications/2014/2014_Rigoux_Stephan_Friston_Daunizeau.pdf.

[2] Stephan, K. E., Penny, W. D., Daunizeau, J., Moran, R. J., & Friston, K. J. (2009). Bayesian model selection for group studies. NeuroImage, 46(4), 1004-1017. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2703732/pdf/ukmss-5226.pdf.

Project details


Release history Release notifications | RSS feed

This version

1.0

Download files

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

Source Distribution

groupBMC-1.0.tar.gz (5.1 kB view details)

Uploaded Source

Built Distribution

groupBMC-1.0-py3-none-any.whl (5.8 kB view details)

Uploaded Python 3

File details

Details for the file groupBMC-1.0.tar.gz.

File metadata

  • Download URL: groupBMC-1.0.tar.gz
  • Upload date:
  • Size: 5.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.4.0 pkginfo/1.6.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5

File hashes

Hashes for groupBMC-1.0.tar.gz
Algorithm Hash digest
SHA256 21c5e0ca39e6ae6624829b26c8d4b4314ecf12f108f000bedf2c6a8733eab442
MD5 bfa00607cd288e2749f020301e08e5eb
BLAKE2b-256 f77e306fcc8f101ff2773090269b676c7024bd235bf725e050b0ac9f12ab21b6

See more details on using hashes here.

File details

Details for the file groupBMC-1.0-py3-none-any.whl.

File metadata

  • Download URL: groupBMC-1.0-py3-none-any.whl
  • Upload date:
  • Size: 5.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.4.0 pkginfo/1.6.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5

File hashes

Hashes for groupBMC-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6c7b6b5874a9aa525c1b25e01779d310ac1c268e83d6e4466d6c42adbd7a830f
MD5 6beba1122dc41141889eec9f830a2a12
BLAKE2b-256 4eb1284f3b74b26e0efff62d008f9292e7a30080df4fc02cd309d3d5c8bc5f45

See more details on using hashes here.

Supported by

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