normalized conditional mutual information

I am learning mutual information and need to apply it to my data. I strongly need to find a normalized conditional mutual information to have a range within [0,1] instead of 0 to infinity in conditional mutual information. I search about such a problem and could not find any idea how to find the solution using, for example, the R program. I just wonder if there is any way to explain what is the normalized conditional mutual information and how to get it?

• Why do you need a normalized value? // You might be interested in a question of mine from last year.
– Dave
Jul 7 at 13:13
• @Dave Thanks a lot for your comment. I need it to have a finite value of the mutual information instead of getting the range from 0 to infinity. I have read your question and answers but I still cannot find any R package that can deal with conditional mutual information or even conditional adjusted mutual information as I really need to calculate the conditional of two variables given other variables. Jul 7 at 15:55
• The value of mutual information you get when you do the calculation will be finite.
– Dave
Jul 7 at 15:56
• do you mean the adjusted mutual information? how about conditional value? Jul 7 at 15:57
• Could you please show me an example. Jul 7 at 16:00