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

[Achim Zeileis]

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.
Z



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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