Source: psignifit3
Section: science
Priority: extra
Maintainer: Nikolaus Valentin Hänel <valentin.haenel@gmx.de>
Uploaders: Michael Hanke <mih@debian.org>
Build-Depends: debhelper (>= 7.0.50~), python-all-dev, swig (>= 1.3.40~),
  python-support (>= 0.6), python-nose, python-numpy, python-matplotlib,
  python-scipy, python-tk
Standards-Version: 3.9.3
Homepage: http://psignifit.sourceforge.net
Vcs-Git: git://psignifit.git.sf.net/gitroot/psignifit/psignifit
Vcs-Browser: http://psignifit.git.sf.net/git/gitweb-index.cgi

Package: python-pypsignifit
Section: python
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}, ${python:Depends}, python-numpy,
  python-matplotlib, python-scipy
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.
