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
>
> _______________________________________________
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> uai@ENGR.ORST.EDU
> https://secure.engr.oregonstate.edu/mailman/listinfo/uai
>
>
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