• `cforest', an implementation of Breiman's random forest ensemble algorithm based on conditional inference trees (`ctree') has been added. It is somewhat experimental and thus for advanced users only.
• `mob', an object-oriented implementation of a recently suggested algorithm for model-based recursive partitioning (Zeileis, Hothorn, Hornik, 2005) has been added. It works out of the box for partitioning (generalized) linear regression models, others can be easily plugged in. A new vignette "MOB" describes the implementation ideas and provides a few examples.
• new S3 generic reweight() with methods for (g)linearModel for re-fitting a model with different weights.
• new argument `maxdepth' to `ctree_control' which allows for growing trees of a fixed maximum depth.
• LazyData: yes