[R] learning networks with a large number of variables and pre-set parents.

Achim Zeileis Achim.Zeileis at wu-wien.ac.at
Fri Mar 25 11:40:46 CET 2005

This is the second time within 24 hours that you cross-posted the same
question to two of the R mailing lists, please read the posting guide
linked at the bottom of this mail on how to properly ask your questions.

As for your question: I'm not aware of an R package that would be able to
do what you are looking for, but you might also ask the maintainer of the
package you're specifically interested in for more details.

On Fri, 25 Mar 2005, zhihua li wrote:

> hi netters:
> I have a series of  discrete variables which form a network and  I want to
> learn the network structure from some training data. I could have used
> packages like deal but there are two problems.
> First of all, I have 10000 variables. So the possible network structure is
> awfully huge, I don't know how long it will take my PC to find the
> highest-scoring network..........maybe a month?
> Secondly, I have some prior knowledge that only 500 out of the 10000
> variales are possible parents. In another word, only those arrows startting
> from the 500 variables and pointing to the remaining 99500 variables are
> allowed in the network.  In deal an assignment to "banlist" should help me
> rule out the impossible arrows. But in my case the number of "impossible
> arrows" is  500*499+99500*99549, and so the "banlist" would get
> unacceptable long. Are there any methods (in deal or other packages) to
> specify the parents set in advance?
> Thanks a lot!
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