Package: python-pymc
Source: pymc
Version: 2.2+ds-1
Architecture: i386
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 1762
Depends: python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.7-0~b1), python-numpy-abi9, python-support (>= 0.90.0), libblas3 | libblas.so.3 | libatlas3-base, libc6 (>= 2.11), libgfortran3 (>= 4.6), liblapack3 | liblapack.so.3 | libatlas3-base, python-scipy, python-matplotlib, python-nose
Recommends: python-tables
Suggests: python-pydot, ipython
Section: python
Priority: extra
Homepage: http://pymc-devs.github.com/pymc/
Description: Bayesian statistical models and fitting algorithms
 PyMC is a Python module that implements Bayesian statistical models
 and fitting algorithms, including Markov chain Monte Carlo. Its
 flexibility and extensibility make it applicable to a large suite of
 problems. Along with core sampling functionality, PyMC includes
 methods for summarizing output, plotting, goodness-of-fit and
 convergence diagnostics.
