Solved – Decision tree for censored data

Does anyone know an implementation in R (or other) of a decision tree for censored outcomes? I would like to utilize a decision tree in order to discretize/bin continuous variables before a survival analysis in some sort of principled manner. I am left with only a traditional decision tree using a binary target (event/no event) disregarding the censored nature of the data as it stands.

Have you checked the package party? I believe the function ctree handles censored data.

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