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Published February 25, 2021 | Version 0.0.7rc1
Software Open

neurostuff/NiMARE: 0.0.7rc1

Creators

  • 1. Florida International University
  • 2. University of Texas at Austin
  • 3. Big Data Institute, University of Oxford
  • 4. Neurology and Neurosurgery, McGill University
  • 5. Neuroscience Program, University of Iowa
  • 6. Department of Psychology, Stanford University
  • 7. Department of Neuroscience and Biomedical Engineering, Aalto University
  • 8. National Institute on Aging
  • 9. National Institute of Mental Health
  • 10. Auburn University
  • 11. Montreal Neurological Institute, McGill University
  • 12. MIT

Description

Release Notes

This release involves two changes worth mentioning. First, we have fixed a bug in how permutation-based p-values are calculated (thanks to @alexenge for identifying and reporting). Second, we have changed how the "empirical" null method is performed. The "empirical" method is now much slower, but more accurate, than the "analytic" approach.

Changes
  • [FIX] Permutation p-values (#447) @tyarkoni
  • [FIX,REF] start changing how to handle resampling (#439) @jdkent
  • [FIX] transform_images extra dimension (#445) @jdkent
  • [DOC] Add decoding description page (#443) @tsalo
  • [MAINT] Switch to GitHub Actions for PyPi deployment (#441) @tsalo
  • [ENH] Implement full coordinate-set empirical null method (#424) @tsalo
  • [DOC] Fix NeuroStars link (#434) @tsalo
  • [DOC] Add specialized issue templates (#433) @tsalo
  • [MAINT] Add indexed_gzip as a dependency (#431) @tsalo

Files

neurostuff/NiMARE-0.0.7rc1.zip

Files (4.6 MB)

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md5:109223a9199aff8fc65ad9cb880766a3
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Additional details

Related works

Is supplement to
https://github.com/neurostuff/NiMARE/tree/0.0.7rc1 (URL)