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https://github.com/jluttine/tikz-bayesnet

TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
https://github.com/jluttine/tikz-bayesnet

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TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

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README

        

BayesNet
========

TikZ library for drawing Bayesian networks, graphical models and (directed) factor
graphs in LaTeX.

Contents
--------

Provides the following node styles:

* :code:`latent`

* :code:`obs`

* :code:`det`

* :code:`const`

* :code:`factor`

* :code:`plate`

* :code:`gate`

Provides the following commands (note that any of the arguments can be
empty):

* :code:`\factor [options] {name} {caption} {inputs} {outputs}`

* :code:`\plate [options] {name} {fitlist} {caption}`

* :code:`\gate [options] {name} {fitlist} {inputs}`

* :code:`\vgate {name} {fitlist-left} {caption-left} {fitlist-right}
{caption-right} {inputs}`

* :code:`\hgate {name} {fitlist-top} {caption-top} {fitlist-bottom}
{caption-bottom} {inputs}`

* :code:`\edge [options] {inputs} {outputs}`

* :code:`\factoredge [options] {inputs} {factors} {outputs}`

Usage
-----

Install the package by copying tikzlibrarybayesnet.code.tex to your
LaTeX system or copy the file into projects that are using it. To use
the library in your LaTeX file

.. code-block:: python

\usepackage{tikz}
\usetikzlibrary{bayesnet}

Compile the LaTeX example:

.. code-block:: none

pdflatex example.tex

and see the resulting PDF file example.pdf.

Example
-------

.. figure:: http://i.imgur.com/CzNyk.png
:align: center
:alt: Bayesian network.

PCA model as a Bayesian network and a directed factor graph.

.. figure:: http://i.imgur.com/CBZqL.png
:align: center
:alt: Citation influence model

Directed factor graph of the citation influence model.

Related projects
----------------

This library is derived from a technical report "Directed Factor Graph
Notation for Generative Models" and the accompanying TikZ macros by
Laura Dietz 2010 (http://people.cs.umass.edu/~dietz/). The technical
report is available in this repository as `dietz-techreport.pdf`.

GraphViz (http://www.graphviz.org/) is a more general open source
graph visualization software. It uses DOT file format to describe the
structure of the graph. The DOT file can be converted to LaTeX using
:code:`dot2tex` (http://www.fauskes.net/code/dot2tex/).

UAI (http://graphmod.ics.uci.edu/uai08/FileFormat) is a simple text
file format to describe Markov networks. The UAI file format can be
converted to DOT file format using :code:`uai2dot`
(https://github.com/drewfrank/uai2dot).

License
-------

| Copyright (C) 2010-2011 Laura Dietz
| Copyright (C) 2012 Jaakko Luttinen [email protected]

This work is released under the MIT license.