A Fast Implementation of Random Forests
Description
A fast implementation of Random Forests, particularly suited for high
dimensional data. Ensembles of classification, regression, survival and
probability prediction trees are supported. Data from genome-wide
association studies can be analyzed efficiently. In addition to data
frames, datasets of class 'gwaa.data' (R package GenABEL) can be directly
analyzed.