Decision trees for Rstudio v3.3 Anyone know the best packages to build a decision tree in Rstudio v3.3?

I want to look at some data-driven segmentation for my data. I was thinking of doing chaid analysis (mainly because this is why I've done in the past). 

I've looked around myself, but can't find the best package for this version!
The "best" package depends on your goals and data really.

A few tree / forest packages that I've come across:


randomForest - an implementation of the original algorithm
ranger - a flexible implementation designed to run on high-dimensional data (my personal favourite forest package)
party's ctree / cforest functions - conditional inference trees / forests
rpart


Some of these packages focus on forests rather than trees; you can coerce the forest algorithm into building a tree by flexing appropriate parameters.