tune.nodesize

Vector of <code>min.node.size</code> values to try.

min.node.size

Runs ranger for a vector of <code>min.node.size</code> values and returns the out of bag prediction error for each run.
For each <code>mtry</code> the analysis will be replicated <code>n</code> times.

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.

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tune.nodesize: Tune terminal node size

Description

Usage

Arguments

Value

Details

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