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.