Hallo, can anybody tell me how the ctree-algorithm derives the p-value. I read the papers from hothorn, hornik and zeileis, but it is not clear for me how to get the p-value. I derived the teststatistic and want to get the appropriate p-value. As I understand it, the p-value is some kind of normal-distribution, but with which parameters? Is this the right direction or am I totally wrong? I hope my problem is clear and somone can help me... Thanks a lot, Max P.S. Is there a possibility (in case of large data-sets of 400000 entries) to get the exact p-value in R, which is not equal to 0 in every node of the tree (that means e.g. 0.000000000001 instead of 0)?
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