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: |
1.1 |
| Depends: |
randomForest |
| Imports: |
stats, graphics, grDevices |
| Suggests: |
gss |
| Published: |
2015-09-09 |
| Author: |
Nicolai Meinshausen, Lukas Schiesser |
| Maintainer: |
Nicolai Meinshausen <meinshausen at stat.math.ethz.ch> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: |
yes |
| In views: |
MachineLearning |
| CRAN checks: |
quantregForest results |