Alexasandro,
just for your information the catnet package can handle missing data, as
well as perturbed data. it deals with discrete data only which is not a
problem for you.
peter
On Sun, Jun 8, 2014 at 9:27 PM, Alexsandro Cândido de Oliveira Silva <
a...@dpi.inpe.br> wrote:
> Hello,
>
> I
Dear Alexsandro,
On 9 June 2014 02:27, Alexsandro Cândido de Oliveira Silva
wrote:
> So, how could I deal with the data and get the conditional probability
> distribution?
As of the current release (3.5), all functions in bnlearn require
complete data so that error message is expected. However,
On Jun 8, 2014, at 6:27 PM, Alexsandro Cândido de Oliveira Silva wrote:
> Hello,
>
> I am using the bnlearn package in R to handle large amounts of data in
> Bayesian networks. The variables are discrete and have more than 3 million
> observations.
> With bn.fit function I could easily get the
Hello,
I am using the bnlearn package in R to handle large amounts of data in
Bayesian networks. The variables are discrete and have more than 3
million observations.
With bn.fit function I could easily get the conditional probability
distribution. However, some variables have unobserved va
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