For CART model, caret seems to only provide tunning of complexity parameter. Is there way to tune other parameters such as minbucket?
Arguments passed to the classification or regression routines are included in the dots parameter.
As you want to include
control should be included inside
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.