Fast Implementation of Random Forests

 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') and 'dgCMatrix' (R package 'Matrix')
 can be directly analyzed.