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.
|Date of publication||2016-05-19 16:32:47|
|Maintainer||Nicolai Meinshausen <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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