Description Usage Arguments Value Author(s)

this function approaches the identification of important variables from
`rfe`

more conservatively than **caret**. It uses
the standard deviation (or standard error) of the cross-validated error
metric to identify important variables.

1 2 |

`rfe.model` |
a rfe model. See |

`metric` |
the metric to be used. Note this needs to be the metric used
to calculate the |

`maximize` |
logical: Is a higher value of the metric favourable (e.g metric = Rsquared) or not (e.g metric = RMSE). maximize=TRUE is determined automatically as long as metric is either Rsquared, ROC, Accuracy. maximize =FALSE is used for all other metrics. Set this manually if you use an other metric where higher values are favourable. |

`sderror` |
If TRUE then standard error is calculated. If FALSE then standard deviations are used |

a character vector of the variable names

Hanna Meyer, Tim Appelhans

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