May 232013
 

Mocapy++ 1.07

:: DESCRIPTION

Mocapy++ is a Dynamic Bayesian Network toolkit, implemented in C++. It supports discrete, multinomial, Gaussian, Kent, Von Mises and Poisson nodes. Inference and learning is done by Gibbs sampling/Stochastic-EM.

::DEVELOPER

The Bioinformatics Centre , University of Copenhagen

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 Mocapy++

:: MORE INFORMATION

Citation:

BMC Bioinformatics. 2010 Mar 12;11:126. doi: 10.1186/1471-2105-11-126.
Mocapy++–a toolkit for inference and learning in dynamic Bayesian networks.
Paluszewski M, Hamelryck T.

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