print.ranger

Further arguments passed to or from other methods.

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.

print.ranger: Print Ranger

Description

Usage

Arguments

See Also