Toolbox for Bayesian psychometric function estimation
Project description
psignifit
Python toolbox for Bayesian psychometric function estimation
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
Project details
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