Hi all,
I'm using bnlearn to build a Bayesian Network with 167 nodes. I have got
the fitted network, but when I try to do inference using cpquery (or
cpdist), I got this error message:
Error in logical(n) : vector size cannot be NA/NaNIn addition: Warning
message:In check.cpq.args(fitted = fitted
Dear Ross,
On Friday, 3 June 2016, > wrote:
>
> I find that repeating the command gives very different results for the
> same
set of evidence.
Some variability in the results is expected since they are Monte Carlo
estimates.
What is happening in your case is, I think, that your evidence has a
Hi all
I have created a Bayes network with 14 nodes using the bnlearn package and
want to explore the conditional probabilities for specific node with a given
set of evidence using the cpquery() command.
I find that repeating the command gives very different results for the same
set of evi
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