importance

importance.ranger

Further arguments passed to or from other methods.


Extract variable importance of ranger object.


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.

importance.ranger: ranger variable importance

Description

Usage

Arguments

Value

See Also