quantregForest (1.0)
Quantile Regression Forests.
http://cran.r-project.org/web/packages/quantregForest
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, Lukas Schiesser
License: GPL
Uses: randomForest, gss
Reverse suggests: caret, fscaret, GSIF, ModelMap
Released over 4 years ago.