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
:: 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.