quantregForest (1.3-7)

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 'randomForest', written by Andy Liaw.

Maintainer: Loris Michel
Author(s): Nicolai Meinshausen

License: GPL

Uses: randomForest, RColorBrewer, gss, knitr, rmarkdown
Reverse suggests: caret, fscaret, GSIF, ModelMap

Released almost 2 years ago.