print.ranger

<p>Further arguments passed to or from other methods.</p>

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.

Marvin Wright

print.ranger: Print Ranger

Description

Usage

Arguments

See Also