About: The CTBN-RLE is a C++ package of executables and libraries for inference and learning algorithms for continuous time Bayesian networks (CTBNs).

Markov decision processes added (Kan & Shelton 2008) [ctmdp.h]

Mean field inference added (Cohn, El-Hay, Friedman, & Kupferman 2009) [meanfieldinf.h]

Factored uniformization for filtering added (Celikkaya & Shelton 2011) [uniformizedfactoredinf.h]

Auxilliary Gibbs sampling added (Rao & Teh 2011) [gibbsauxsampler.h]

Multi-threading for EM added

many speed improvements

unit testing improved [tst/]

new demo "main" programs added [demo/]

file format changed to XML-ish format (with old methods still there for conversion)

matrix switched to Eigen package (with option to return to old matrix)

glpk now included

initial cmake functionality