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.
| Version: | 0.2-2 |
| Depends: | randomForest |
| Imports: | stats, graphics, grDevices |
| Published: | 2007-03-15 |
| Author: | Nicolai Meinshausen |
| Maintainer: | Nicolai Meinshausen <nicolai at stat.berkeley.edu> |
| License: | GPL |
| URL: | http://www.stat.berkeley.edu/~nicolai |
| In views: | MachineLearning |
| CRAN checks: | quantregForest results |
| Package source: | quantregForest_0.2-2.tar.gz |
| MacOS X binary: | quantregForest_0.2-2.tgz |
| Windows binary: | quantregForest_0.2-2.zip |
| Reference manual: | quantregForest.pdf |
| Old sources: | quantregForest archive |
| Reverse suggests: | caret |