R Package for Bayesian Networks

[cwyoo]

Here we list possible Bayesian Networks packages in R

[qja0428]

bnlearn.pdf

(320.79 KiB) Downloaded 165 times

[qja0428]

gRain-intro.pdf

(209.25 KiB) Downloaded 144 times

[cwyoo]

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.

[qja0428]

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

[meninonas]

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.

[cwyoo]

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.

[meninonas]

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