Marvin N. Wright
Implements random forests (RF, Breiman 2001) with emphasis on simplicity. Uses reference classes and only plain R. Not optimized for computation speed. Allows rapid prototyping of RF-type algorithms.
For a runtime-optimized random forest implementation, see ranger.
Features:
- Use a standard
predict()function - ...
Technical stuff:
- Software tests
- Profile the code. Possible to make it faster without losing simplicity?
Be careful, this package is not extensively tested!