Package: python-pypsignifit
Source: psignifit3
Version: 3.0~beta.20120611.1-1build1
Architecture: amd64
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Nikolaus Valentin Hänel <valentin.haenel@gmx.de>
Installed-Size: 1654
Depends: libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.6), python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy
Section: python
Priority: extra
Homepage: http://psignifit.sourceforge.net
Description: psychometric analysis of psychophysics data in Python
 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.
