python-pymc-doc_2.3.4+ds-1~nd14.04+1_all.deb


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Description

python-pymc-doc - Bayesian statistical models and fitting algorithms

Property Value
Distribution Ubuntu 14.04 LTS (Trusty Tahr)
Repository NeuroDebian Main amd64
Package name python-pymc-doc
Package version 2.3.4+ds
Package release 1~nd14.04+1
Package architecture all
Package type deb
Installed size 1.82 KB
Download size 820.14 KB
Official Mirror neurodebian.ovgu.de
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.
This package provides the documentation in HTML format.

Alternatives

Package Version Architecture Repository
python-pymc-doc_2.3.4+ds-1~nd14.04+1_all.deb 2.3.4+ds all NeuroDebian Main
python-pymc-doc_2.2+ds-1_all.deb 2.2+ds all Ubuntu Universe
python-pymc-doc_2.2+ds-1_all.deb 2.2+ds all Ubuntu Universe
python-pymc-doc - - -

Requires

Name Value
libjs-jquery -
libjs-underscore -
neurodebian-popularity-contest -

Download

Type URL
Binary Package python-pymc-doc_2.3.4+ds-1~nd14.04+1_all.deb
Source Package pymc

Install Howto

  1. Add the following line to /etc/apt/sources.list:
    deb http://neurodebian.ovgu.de/debian/ trusty 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-pymc-doc deb package:
    # sudo apt-get install python-pymc-doc

See Also

Package Description
python-pymc_2.3.4+ds-1~nd14.04+1_amd64.deb Bayesian statistical models and fitting algorithms
python-pynn_0.7.5-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1_all.deb simulator-independent specification of neuronal network models
python-pyperclip_1.6.0-2~nd14.04+1_all.deb Cross-platform clipboard module for Python
python-pypsignifit_3.0~beta.20120611.1-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1_amd64.deb psychometric analysis of psychophysics data in Python
python-pytest-doc_2.7.2-2~nd14.04+1_all.deb Simple, powerful testing in Python - Documentation
python-pytest-localserver_0.3.4-2~nd14.04+1_all.deb py.test plugin to test server connections locally (Python 2)
python-pytest-tornado_0.4.4-1~nd14.04+1_all.deb py.test plugin to test Tornado applications
python-pytest_2.7.2-2~nd14.04+1_all.deb Simple, powerful testing in Python
python-rednose_0.4.1-1~nd14.04+1_all.deb coloured output for nosetests - Python 2.x
python-scikits-learn_0.18.1-1~nd14.04+1_all.deb transitional compatibility package for scikits.learn -> sklearn migration
python-scrapy-doc_1.0.3-1~nd14.04+1_all.deb Python web scraping and crawling framework documentation
python-scrapy_1.0.3-1~nd14.04+1_all.deb Python web scraping and crawling framework
python-seaborn_0.7.1-2~nd14.04+1_all.deb statistical visualization library
python-setuptools-scm_1.8.0-1~bpo8+1~nd14.04+1_all.deb blessed package to manage your versions by scm tags for Python 2
python-six-whl_1.9.0-3~bpo8+1~nd14.04+1_all.deb Python 2 and 3 compatibility library (universal wheel)
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