Package that is similar to R's caret? Recently I stumbled upon a R package that works similar like caret, but I can't remember what it's name was and I can't find it. It seemed to be less well known, but at least as extensive. Someone able to help?

Edit: I search for this other package to widen my horizon. There is no specific other reason. This question is specific however, since I am not looking for a general recommendation, but I am looking for this specific package I have in mind. I will recognize the package once I read its functions and descriptions. I had searched for a couple of hours myself and did not find it by searching for "package similar to caret". That is why I need help.
MLR is similar to caret, MLR offers a high-level interface to various statistical and machine learning packages.

According to the package description:


  Interface to a large number of classification and regression
  techniques, including machine-readable parameter descriptions. There
  is also an experimental extension for survival analysis, clustering
  and general, example-specific cost-sensitive learning. Generic
  resampling, including cross-validation, bootstrapping and subsampling.
  Hyperparameter tuning with modern optimization techniques, for single-
  and multi-objective problems. Filter and wrapper methods for feature
  selection. Extension of basic learners with additional operations
  common in machine learning, also allowing for easy nested resampling.
  Most operations can be parallelized.


Please check the Reference and Homepage.