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

From: Achim Zeileis <Achim.Zeileis_at_wu-wien.ac.at>
Date: Fri 25 Mar 2005 - 21:40:46 EST

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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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Fri Mar 25 21:45:26 2005

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