SMLG (Statistical Machine Learning Group) Discussion Forum

Here we list possible Bayesian Networks packages in R

cwyoo wrote:Here we list possible Bayesian Networks packages in R

Look for more packages and try them out and document how to use them. I will upload only ones with proper referenced to peer reviewed journals. You might compare with packages that we are using, i.e., Genie (C++), BANJO(Java), and PEBL(Python), all documented here.

I have organized all the details about the bnlearning package and some r codes for examples as a pdf file (attachment)

Dr. Yoo,

I have used the attached dataset, which has over 2000 variables, and it seems that R was able to run the analysis rather quickly. I used the following command

naiveBayesclassifier <- naiveBayes(Luminal_A ~ ., data = largerdataset)

Which basically states to calculate the probabilities in regards to Luminal_A.

I have also attached the PDF for the e1071 package, which is where I got the command for.

meninonas wrote:Dr. Yoo,

I have used the attached dataset, which has over 2000 variables, and it seems that R was able to run the analysis rather quickly. I used the following command

naiveBayesclassifier <- naiveBayes(Luminal_A ~ ., data = largerdataset)

Which basically states to calculate the probabilities in regards to Luminal_A.

I have also attached the PDF for the e1071 package, which is where I got the command for.

Provide each cases with naive Bayes predicted probability and draw an ROC curve with AUROC calculated.

Everyone,

Please see the following links as they provide some interesting information about how R works.

http://www.computerworld.com/article/24 ... .html?null

http://www.computerworld.com/article/24 ... nners.html