python-pypsignifit – psychometric analysis of psychophysics data in Python¶
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Psignifit allows fitting of psychometric functions to datasets while maintaining full control over a large number of parameters. Psignifit performs the calculation of confidence intervals as well as goodness-of-fit tests. In addition it offers:
full Bayesian treatment of psychometric functions including Bayesian model selection and goodness of fit assessment
identification of influential observations and outlier detection
flexible shape definition of the psychometric function
This package provides the Python bindings.
Distribution |
Base version |
Our version |
Architectures |
---|---|---|---|
Debian GNU/Linux 9.0 (stretch) |
3.0~beta.20120611.1-1~nd70+1+nd90+1 |
i386, amd64 |
|
Debian unstable (sid) |
3.0~beta.20120611.1-1~nd+1 |
i386, amd64 |