# Directory `graphics/pgf/contrib/tikz-bayesnet`

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/). 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 jaakko.luttinen@aalto.fi This work may be distributed and/or modified under the conditions of the LaTeX Project Public License, either version 1.3 of this license or (at your option) any later version. The license is in the file LICENSE_LPPL and the latest version of this license is in http://www.latex-project.org/lppl.txt and version 1.3 or later is part of all distributions of LaTeX version 2005/12/01 or later. This work is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This work is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. See the license in the file LICENSE_GPL or visit <http://www.gnu.org/licenses/>.

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## tikz-bayesnet – Draw Bayesian networks, graphical models and directed factor graphs

The package provides a library supporting the display of Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

Package | tikz-bayesnet |

Version | 0.1 |

License | The LaTeX Project Public License 1.3 |

Maintainer | Jaakko Luttinen |

Contained in | TeX Live as tikz-bayesnet |

MiKTeX as tikz-bayesnet | |

Topics |
typeset reports, diagrams, etc., of statistics package uses PGF-TikZ |