BayesFusion Support Forum

Good idea. Generating data is easy enough with a simple R script (or using existing R packages such as bnlearn, deal, etc.) so I'm not worried about that. The only thing I really need is a reasonably easy way to learn the parameters of a dynamic Bayes net with latent variables from data in R. It sou...

Learning C++/Java would be the smart thing to do if I had the time. As it is, I'd really need to stay within R/Python/Matlab.

I encourage you to explore this functionality using GeNIe Using a GUI (GeNIe or Netica, which is what I currently use) would be preferable for a one-time analysis but I need to conduction 1,000 replications/analyses for each of 200-300 conditions using synthetic data. That's not feasible with a poi...

Perhaps it would be easier for me to design/run my Monte Carlo simulation in C++. Is all of the functionality I need (data generation/parameter learning/inference for a dynamic Bayesian networks containing potentially multiple latent variables per time slice as well as the ability to be automated/lo...

We don't have any examples specific to R or rJava. If the plain Java example would be sufficient, have a look at jSMILE sources..." Thanks. I'll take a look. I don't have much experience with Java/C++ so I'm kind of trying to reverse engineer the R examples. If you come across any examples, I'...

First, thank you for all of the information that is available on your site (including the Wiki). I am looking for software that is compatible with dynamic Bayesian networks containing latent variables (discrete) and that can perform both parameter learning as well as inference. Ideally, this softwar...