How to specify minbucket in caret train for?

Question

For CART model, caret seems to only provide tunning of complexity parameter. Is there way to tune other parameters such as minbucket?

Answer 1

Arguments passed to the classification or regression routines are included in the dots parameter.

As you want to include minbucket, parameter control should be included inside train.

As example:

library("caret")

train(Kyphosis ~ Age + Number + Start, data = kyphosis, 
      method = "rpart",
      tuneGrid = data.frame(cp = c(0.01, 0.05)),
      control = rpart.control(minsplit = 10, minbucket = 5))

If you want to tune minbucket you will have to do it manually.