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Subject: Re: [R] bnlearn and cpquery
Dear Ross,
This usually happen because you have parameters with a value of NaN in your
network, because the data you estimate the network from are sparse and you are
using maximum likelihood estimates. You should either 1) use simp
Dear Ross,
This usually happen because you have parameters with a value of NaN in your
network, because the data you estimate the network from are sparse and you
are using maximum likelihood estimates. You should either 1) use simpler
networks for which you can estimate all conditional
Hi all
I have built a Bayesian network using discrete data using the bnlearn
package.
When I try to run the cpquery function on this data it returns NaN for some
some cases.
Running the cpquery in debug mode for such a case (n=10^5, method="lw")
creates the following output:
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