R bnlearn package: learning structure with missing data

Question

Hi Stackoverflow users,

I'm trying to use the bnlearn package in R to learn the structure of a Bayes Net, however my training data is incomplete. When I try to fit a baynes net using any learning algorithm gs(), hc()... i get an error message.

Does anyone know how I can get around this problem? It seems there isn't a suitable alternative package in R that can deal with missing data yet.

> wildelakedata[wildelakedata==9999]<-NA
> wildelakedata[1:10,]
   Install.Yr Hist Eco PWA Anom SF
1        1968    1   4   0   NA NA
2        1968    1   4   0   NA NA
3        1968    1   4   1   NA NA
4        1968    1   4   1   NA NA
5        1968    1   4   1   NA NA
6        1968    1   4   1   NA NA
7        1968    1   4   0   NA NA
8        1968    1   4   0   NA NA
9        1968    1   4   1   NA NA
10       1968    1   4   0   NA NA
> BN<-hc(wildelakedata)
Error in check.data(x) : the data set contains NULL/NaN/NA values.

Thomas