SigCorr: A Python package for studies of trials factors

Jupyter Notebook Python Submitted 09 November 2022Published 07 July 2023
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Editor: @osorensen (all papers)
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Authors

V. Ananiev (0000-0003-3649-7621), A. L. Read (0000-0002-5751-6636)

Citation

Ananiev et al., (2023). SigCorr: A Python package for studies of trials factors. Journal of Open Source Software, 8(87), 4989, https://doi.org/10.21105/joss.04989

@article{Ananiev2023, doi = {10.21105/joss.04989}, url = {https://doi.org/10.21105/joss.04989}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {87}, pages = {4989}, author = {V. Ananiev and A. L. Read}, title = {SigCorr: A Python package for studies of trials factors}, journal = {Journal of Open Source Software} }
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python statistics look-elsewhere effect lee trials factor statistical significance gaussian process resonance search

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