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Toolbox for Bayesian psychometric function estimation

Project description

psignifit

Python toolbox for Bayesian psychometric function estimation

Tests Documentation PyPI version DOI

Getting started

Install psignifit with pip:

pip install psignifit

See the documentation to get started.

How to cite

If you use this package, please cite both this implementation:

Zito, T., Künstle, D., Aguilar, G., Berkes, P., & Schwetlick, L. psignifit 4.3 (Version 4.3) [Computer software]. https://doi.org/10.5281/zenodo.14750140

as well as the original paper:

Schütt, H. H., Harmeling, S., Macke, J. H., & Wichmann, F. A. (2016). Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data. Vision Research, 122, 105–123. doi:10.1016/j.visres.2016.02.002

Contributors

See the CONTRIBUTORS file

License and COPYRIGHT

See the COPYRIGHT file

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