python-pypsignifit_3.0~beta.20120611.1-1~nd12.04+1_amd64.deb


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Description

python-pypsignifit - psychometric analysis of psychophysics data in Python

Property Value
Distribution Ubuntu 12.04 LTS (Precise Pangolin)
Repository NeuroDebian Main amd64
Package name python-pypsignifit
Package version 3.0~beta.20120611.1
Package release 1~nd12.04+1
Package architecture amd64
Package type deb
Installed size 1.55 KB
Download size 429.45 KB
Official Mirror neurodebian.ovgu.de
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.

Alternatives

Package Version Architecture Repository
python-pypsignifit_3.0~beta.20120611.1-1~nd12.04+1_i386.deb 3.0~beta.20120611.1 i386 NeuroDebian Main
python-pypsignifit - - -

Requires

Name Value
libc6 >= 2.14
libgcc1 >= 1:4.1.1
libstdc++6 >= 4.6
neurodebian-popularity-contest -
python << 2.8
python >= 2.7
python-matplotlib -
python-numpy -
python-scipy -
python-support >= 0.90.0

Download

Type URL
Binary Package python-pypsignifit_3.0~beta.20120611.1-1~nd12.04+1_amd64.deb
Source Package psignifit3

Install Howto

  1. Add the following line to /etc/apt/sources.list:
    deb http://neurodebian.ovgu.de/debian/ precise main contrib non-free
  2. Install GPG key of the repository:
    # sudo apt-key adv --recv-keys --keyserver pgp.mit.edu 2649A5A9
  3. Update the package index:
    # sudo apt-get update
  4. Install python-pypsignifit deb package:
    # sudo apt-get install python-pypsignifit

See Also

Package Description
python-pyxnat_0.9.1+git39-g96bf069-1~nd12.04+1_all.deb Interface to access neuroimaging data on XNAT servers
python-quantities_0.10.1-1~nd11.10+1+nd12.04+1_all.deb Library for computation of physical quantities with units, based on numpy
python-scikits-learn_0.14.1-1~nd12.04+1_all.deb transitional compatibility package for scikits.learn -> sklearn migration
python-scikits.statsmodels_0.5.0-1~nd12.04+1_all.deb transitional compatibility package for statsmodels migration
python-skimage-doc_0.6.1-1~nd12.04+1_all.deb Documentation and examples for scikits-image
python-skimage-lib_0.6.1-1~nd12.04+1_amd64.deb Optimized low-level algorithms for scikits-image
python-skimage_0.6.1-1~nd12.04+1_all.deb Python modules for image processing
python-sklearn-doc_0.14.1-1~nd12.04+1_all.deb documentation and examples for scikit-learn
python-sklearn-lib_0.14.1-1~nd12.04+1_amd64.deb low-level implementations and bindings for scikit-learn
python-sklearn_0.14.1-1~nd12.04+1_all.deb Python modules for machine learning and data mining
python-smmap_0.9.0-1~nd12.04+1_all.deb pure Python implementation of a sliding window memory map manager
python-spyderlib_2.2.5+dfsg-1~nd12.04+1_all.deb python IDE for scientists
python-spykeutils_0.4.3-1~nd12.04+1_all.deb utilities for analyzing electrophysiological data
python-statsmodels-doc_0.5.0-1~nd12.04+1_all.deb documentation and examples for statsmodels
python-statsmodels-lib_0.5.0-1~nd12.04+1_amd64.deb low-level implementations and bindings for statsmodels
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