jamovi

Yeees... it is very beautiful... how can I install this module on jamovi? In R you can do something like this: library(caret) library(partykit) detach("package:partykit", unload=TRUE) library(party) # Conditional Trees set.seed(3456) model <- train( yvar ~ ., data = df, method = 'ctree2', ...

One of the coolest tools in statistics and machine learning is conditional decision trees. It would be nice to see this on jamovi, using k-fold cross validation.