BIP Publisher's description
from Flavio Codeco Coelho
This package is a collection of useful classes for basic Bayesian inference
This package is a collection of useful classes for basic Bayesian inference. Currently, its main goal is to be a tool for learning and exploration of Bayesian probabilistic calculations.
Currently it also includes subpackages for stochastic simulation tools which are not strictly related to Bayesian inference, but are currently being developed within BIP. One such package is the BIP.SDE which contains a parallelized solver for stochastic differential equations, an implementation of the Gillespie direct algorithm.
System Requirements:No special requirements.
Program Release Status:
Program Install Support: Install and Uninstall