quantregForest (0.2-3)

Quantile Regression Forests.


Quantile Regression Forests is a tree-based ensemble method for estimation of conditional quantiles. It is particularly well suited for high-dimensional data. Predictor variables of mixed classes can be handled. The package is dependent on the package randomForests, written by Andy Liaw.

Maintainer: Nicolai Meinshausen
Author(s): Nicolai Meinshausen

License: GPL

Uses: randomForest
Reverse suggests: caret, fscaret, GSIF, ModelMap

Released over 7 years ago.