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
1 maintainer
Metadata
1 maintainer
Release files for psignifit 4.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| psignifit-4.3.tar.gz | 51.2 kB | Without provenance | Details for psignifit-4.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| psignifit-4.3-py3-none-any.whl | Python 3 | none | any | Details for psignifit-4.3-py3-none-any.whl |
Total release size: 89.4 kB
Release files / psignifit-4.3.tar.gz
| Download URL | psignifit-4.3.tar.gz |
|---|---|
| Size | 51.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
Release files / psignifit-4.3-py3-none-any.whl
| Download URL | psignifit-4.3-py3-none-any.whl |
|---|---|
| Size | 38.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
Security for psignifit 4.3
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