[R] bnlearn impute problem

Hi all, I am having a problem running the "impute" function from the bnlearn package. I have tried running the example in the documentation as follows: with.missing.data = gaussian.test with.missing.data[sample(nrow(with.missing.data), 500), "F"] = NA fitted =

Re: [R] cpquery problem

Hi Marco Thanks again for your comments. First, I used the term "EST = y" in my original query as a shorthand, I have used the terms "K1", "M1", and "M2" for all actual queries. If I might expand on the outputs I am getting, I have run predict for the term "ABW" on a data vector with

[R] cpquery problem

Hi all I have a problem with the cpquery function in the bnlearn package. I have constructed a hybrid network (using a mix of continuous and discrete variables). The network is named "fitted". I am interested in predicting the probability of observing a value greater that a

[R] bnlearn cpquery

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

Re: [R] bnlearn and TAN network

Hi Marco Thanks for your quick response >-Original Message- >From: Marco Scutari [mailto:marco.scut...@gmail.com] >Sent: Monday, 29 February 2016 8:24 PM >To: ross.chap...@ecogeonomix.com >Cc: r-help >Subject: Re: [R] bnlearn and TAN network > >Hi Ross, > >On 29

[R] bnlearn and TAN network

Hi all, I have created a TAN network using bnlearn in R using the commands: TAN <- tree.bayes(training.data,"classFFB") fitted <- bn.fit(TAN,training.data,method="bayes") where training.data is a dataframe with 6 variables. I have produced a plot of the network using