There are a few packages in R which are quite nice. I wrote a bit about them in my latest book:
Learning Probabilistic Graphical Models in R (Packt Publishing) https://www.amazon.com/Learning-Probabilistic-Graphical-Models-R/dp/1784392057/ (ha ha, I couldn't resist advertising, but one has to be proud about their work) You can also have a quick look at this page for R too on PGM: https://cran.r-project.org/web/views/gR.html - grbase and rbgl (wrapper over the boost graph library) for building a graph - grain and rhugin for building pgm like you want Best, David On Mon, Aug 8, 2016 at 4:21 PM, Richard E Neapolitan < richard.neapoli...@northwestern.edu> wrote: > I am looking for a simple available software package that builds (not > learns) a BN stucture. That is, > > > > Input: > > > > 1. Set of nodes and number of states of each node. > > 2. Set of edges > > > > Output: > > > > A BN DAG Model. > > > > Thanks, > Rich > > _______________________________________________ > uai mailing list > uai@ENGR.ORST.EDU > https://secure.engr.oregonstate.edu/mailman/listinfo/uai > >
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